To review, open the file in an editor that reveals hidden Unicode characters. In Jupyter, every time you open a notebook, you should run all the cells that a cell depends on before running that cell. https://github.com/jpermar/gt6601learningportfolio/blob/master/papers/paper1.pdf, https://github.com/jpermar/gt6601learningportfolio/blob/master/papers/paper2.pdf. To test this function, as well as using the provided tests, you can compare the path computed by bidirectional A* to bidirectional UCS search above. Winter 2012, CS 6601 For instance, when it is faulty, the alarm sounds 55% of the time that the gauge is "hot" and remains silent 55% of the time that the gauge is "normal. # row, col) != (curr_row, curr_col): # self.__last_laser_pos__.append((row, col)), # self.__board_state__[row][col] = Board.TRAIL. Cannot retrieve contributors at this time. You can access the (x, y) position of a node using: You need to include start and goal in the path. A tag already exists with the provided branch name. B: Build a causal graphical model that represents getting to a ball gamewith the variables below. It is the way toward choosing what activities and states to look at given as a specific objective. There is a large focus on implementing algorithms from scratch, and then applying some portions on practical examples. The script described in the following section automatically sends that file to the servers for processing. will be based on Atlanta Pickle data. (1->2->3 == 3->2->1). Lecture 6 on Bayes Nets, Textbook: Str: Visual interpretation of board state & possible moves for active player, #elif b[i][j] == Board.TRAIL: #no trail in skid variant. Implement uniform-cost search, using PriorityQueue as your frontier. Which algorithm converges more quickly? Hint 3: Learn more about bidirectional Unicode characters. sign in In case you are willing to use IDE (e.g. Assignment 5 for intro to AI - K-means and Gaussian Mixture models. 3 total matches are played. And if not, try tuning those parameters(N and delta). Lecture 5 on Probability See which player is inactive. Resolve conflicts as seems best (ask a TA if you are confused!) The fourth assignment tested our knowledge of 1) deterministic planning by creating a sequence of actions in PDDL that lead from an initial world state to a goal state and 2) probabilistic inference using Bayesian networks. CS6601 Assignment 4 | Kaggle search Something went wrong and this page crashed! Command Line Instruction Exaample: SERVER: python3 chatappr.py -s -sport- CLIENT: python3 chatapp.py -c -username- -IP_addr- -sport- -cport-. row: int, Row position of move in question, col: int, Column position of move in question, bool: Whether the [row,col] values are within valid ranges. The order in which you run the cells does affect the entire program, so be careful. they built on top of each other. I was unfortuantely no where close to finishing . As someone in that position, I can confirm that is true. A tag already exists with the provided branch name. Hopefully, Assignment 0 got you pretty comfortable with Jupyter or at the very least addressed the major things that you may run into during this project. In this assignment, for the sake of simplicity, you will only use the Y-coordinates of the right hand and the right thumb to construct your HMM. The temperature gauge can also fail, with the chance of failing greater when the temperature is high. Make sure the path returned is from start to goal and not in the reverse order. If you find an incomplete sequence with some probability, output that sequence with its probability. - There were two mini-projects in which I chose to research a problem that was supposed to be relevant to my your future career. # 'A1': .083, 'A2': 0, 'A3': 0, 'Aend': 0. ", "gauge" (high = True, normal = False), "temperature" (high = True, normal = False), the marginal probability that the alarm sounds, the marginal probability that the gauge shows "hot", the probability that the temperature is actually hot, given that the alarm sounds and the alarm and gauge are both working. The Race! The seventh assignment focused on reinforcement learning by using POMDPs to determine how an agent can learn its location in a stochastic, partially observable world. A friendly reminder: please ensure that your submission is in decision_trees.py. Please run: You will get autogenerated submission/submission.py file where you can write your code. CS6601: Artificial Intelligence Course Overview/Thoughts - YouTube 0:00 / 11:40 Intro/Course Overview CS6601: Artificial Intelligence Course Overview/Thoughts Bryan Truong 1.54K subscribers. The approach I took in the end was to tackle the problem directly by taking an approach based on the visual similarity between the users gesture and the gesture library. The alarm responds correctly to the gauge 55% of the time when the alarm is faulty, and it responds correctly to the gauge 90% of the time when the alarm is not faulty. Here, we want to estimate the outcome of the matches, given prior knowledge of previous matches. (648 Documents), CS 7637 - Knowledge-Based AI Thad introduces the students to the field of artificial intelligence. Because reading provides only a small fraction of the information on a topic, the assignments fill the gap to actively apply the techniques to problems. View code Get all legal moves of certain player object. str: Name of the player who's actively taking a turn. |461| / 1 vs |462| / 2. The following commands will create a BayesNet instance add node with name "alarm": You will use BayesNet.add_edge() to connect nodes. Use Git or checkout with SVN using the web URL. Learn more about bidirectional Unicode characters. If an initial value is not given (initial state is None or and empty list), default to a state chosen uniformly at random from the possible states. and then save the file. Now try running counter += 1 again, and now when you try to print the variable, you see a value of 2. The remainder of the assignment covered probability, and the critically important and pervasive Bayes' rule, which is the basis for Bayesian networks and probabilistic inference. The specifics are up to you, but we have a few suggestions: tridirectional_upgraded() should return a path between all three nodes. The course is advertised as being "doable" by someone who has not previously taken an AI course. To review, open the file in an editor that reveals hidden Unicode characters. You are not allowed to maintain a cache of the neighbors for any node. In this algorithm only the states are considered for the players and the terminal states as well. git clone https://github.gatech.edu/omscs6601/assignment_2.git Activate the environment you had created during Assignment 0: conda activate ai_env In case you used a different environment name, to list of all environments you have on your machine you can run conda env list. to reduce runtime. More details will be posted soon on Piazza. CS 6601 Learning Portfolio, by Justin Permar. If you follow the HMM training procedure described in Canvas, you might encounter a situation where a hidden state is squeezed out by an adjacent state; that is, a state might have its only observation moved to another state. You can return the path in any order. In Part 1a, we use only right-hand Y-axis coordinates as our feature, and now we are going to use two features - the same right-hand Y-axis coordinates and the right-thumb Y-axis coordinates. NOTE: In the following sections, we'll be arriving at the same values by using sampling. CS6601-CS3600-Assignment-6-Hidden-Markov-Models-1. Important: There is a TOTAL submission limit of 5 on Gradescope for this assignment. To generate your submission file, run the command. Implement the Gibbs sampling algorithm, which is a special case of Metropolis-Hastings. If you follow the same routine, you will end up with no obvervation for State 1. Remember that you need to calculate a heuristic for both the start-to-goal search and the goal-to-start search. . Mini-project 1: https://github.com/jpermar/gt6601learningportfolio/blob/master/papers/paper1.pdf, Mini-project 2: https://github.com/jpermar/gt6601learningportfolio/blob/master/papers/paper2.pdf. (20+), Ch 1, Section EOC End Of Chapter, Exercise 1.1, Ch 2, Section EOC End Of Chapter, Exercise 2.1, Ch 3, Section EOC End Of Chapter, Exercise 3.1, Ch 4, Section EOC End Of Chapter, Exercise 4.1, Ch 5, Section EOC End Of Chapter, Exercise 5.1, Ch 6, Section EOC End Of Chapter, Exercise 6.1, Ch 7, Section EOC End Of Chapter, Exercise 7.1, Ch 8, Section EOC End Of Chapter, Exercise 8.1, Ch 9, Section EOC End Of Chapter, Exercise 9.1, CS 1371 - COMPUTER SCIENCE FOR ENGINEERS/MATLAB, CS 6601 1c: Probability calculations : Perform inference. The assignments effectively picked up where the reading left off. First, you may be able to avoid spending three or more days per week on this course, and second, you will likely absorb more information from the lectures, which are quite advanced. However, notice that you will be searching for both nodes b and c during this search and a similar search will start from nodes b and c. Finally, please note that this is a problem that can be accomplished without using 6 frontiers, which is why we stress that this is not the same as 3 bi-directional searches. (956 Documents), CS 1371 - COMPUTER SCIENCE FOR ENGINEERS/MATLAB A tag already exists with the provided branch name. Most 'NoneType object ' errors are because the path you return is not completely connected (a pair of successive nodes in the path are not connected). This page is logically divided into three parts: 1) Reading and Assignments, 2) Mini-projects, and 3) Course Recommendation. Otherwise, the gauge is faulty 5% of the time. The submission marked as Active in Gradescope will be the submission counted towards your grade. In case of Gibbs, the returned state differs from the input state at at-most one variable (randomly chosen). Provide the precise relationshipof cause and effect. Your searches should be executed with minimal runtime and memory overhead. If the LEFT element is closer to the next state, then move the boundary leftward. Data README.md README.md CS6601 Run: Once started you can access http://localhost:8888 in your browser. Bidirectional A star example method 1.pdf, Bidirectional A star example method 2 using 4th edition book.pdf, Search Question solutions + Partial credit explanation.pdf, AI Logic&PlanningWithAnswers - Spring2022.pdf, Game-Playing-Final-Solutions-CS6601-Q1.pdf, Midterm_v1.0_SPRING2020_Clarifications.pdf. This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository. Clone this repository recursively: Choose an aspect of a game or simulation in which search is an essential component. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. Contribute to repogit44/CS6601-2 development by creating an account on GitHub. move_history: [(int, int)], History of all moves in order of game in question. # 'C1': .083, 'C2': 0, 'C3': 0, 'C4': 0, 'C5': 0, 'C6': 0, 'C7': 0, 'Cend': 0, # 'L1': .667, 'Lend': .083, 'W1': 0, 'Wend': 0. See which queen is inactive. Adapt the concept of hidden treasure. This page is logically divided into three parts: 1) Reading and Assignments, 2) Mini-projects, and 3) Course Recommendation. The reason to take this course is that it is taught by Dr. Thad Starner. The first major category of techniques used by a rational agent is search. From the reading and assignments alone, I learned the conceptual and mathematical underpinnings of modern AI. A tag already exists with the provided branch name. Markov Chain Monte Carlo In Part 1 you will build a one dimensional model, recognizing words based only on a series of right-hand Y coordinates; in Part 2 you will go multidimensional and utilize both the right hand and the right thumb features. If an initial value is not given, default to a state chosen uniformly at random from the possible states. Hint 2: I was running cell xxx when I opened up my notebook again and something or the other seems to have broken. While the idea of amortization is quite an interesting one that you may want to think about, please note that this is not the focus We are also implementing this through Jupyter Notebook, so you all may find it useful to spend some time getting familiar with this software. However, make sure you have gone through the instructions in the notebook.ipynb at least once. For this part, it is optional to use the PriorityQueue as your frontier. return this with this function etc.- about 750 lines total, so at least half of that is like comments / function declarations 3. Fall 2022, CS 6601 Hint 1: In both Metropolis-Hastings and Gibbs sampling, you'll need access to each node's probability distribution and nodes. No description, website, or topics provided. N could typically take values like 10,20,,100 or even more. Round the values to 3 decimal places thoughout entire assignment: Those values can be hardcoded in your program. You may also want to look at the Tri-city search challenge question on Canvas. Are you sure you want to create this branch? The temperature is hot (call this "true") 20% of the time. Assignment 1 - Isolation Game - CS 6601: Artificial Intelligence Probabilistic Modeling less than 1 minute read CS6601 Assignment 3 - OMSCS. Search is also the basis of more advanced AI techniques, such as simulated annealing, genetic algorithms, two-player zero-sum games (including games with chance), and constraint satisfaction problems. It should do better than the naive implementation in our tests (InsertionSortQueue), which sorts the entire list after every insertion. This project taught me a few lessons, recounted in our paper: 1) user studies may need to involve training the user as much as the system; after all, computers are flawless at consistent reproduction of actions, but people demonstrate significant variance, and 2) because we dont understand basic human operations such as perception, it is nearly impossible to directly code an approach. During lecture, Thad provides his own perspective on the techniques, which typically differs from the book material. If nothing happens, download Xcode and try again. 20%). and your file will be created under the submission directory. CS6601-2 / assignment_1 / submit.py Go to file Go to file T; Go to line L; Copy path Because the purpose of logic is knowledge representation, the assignments focused on representing rules and familiar knowledge using first-order logic, and proving statements using resolution. If nothing happens, download Xcode and try again. You signed in with another tab or window. To use this option run the following commands in the root directory of your assignment: Your code lives in the /vagrant folder within this virtual machine. The heapq module has been imported for you. If calling from within a player class, my_player = self can be passed. The gauge reading is based on the actual temperature, and for simplicity, we assume that the temperature is represented as either high or normal. Used mostly in play_isolation for display purposes. Submit the submission.py file to Gradescope for grading. Sign up Product Actions. Learning provides a valuable approach that suggests not solving the problem directly but by indirectly teaching a program to learn faces via techniques of unsupervised and supervised learning. Fill in the function compare_sampling() to perform your experiments. Hint 4: In order to count the sample states later on, you'll want to make sure the sample that you return is hashable. We covered the basics of decision trees, neural networks, k-nearest neighbors, and support vector machines as tools to learn from data. Sanity check for making sure a move isn't occupied by an X. bool: Whether the [row,col] position is blank (no X), Sanity check for checking if a spot is occupied by a player, bool: Whether the [row,col] position is currently occupied by a player's queen, Sanity check to see if a space is within the bounds of the board and blank. Chapter 14: Probabilistic Reasoning, Others: Then what we want you to do is to start at node a and expand like in a normal search. You will write your code in submission.py. Because networkx uses dictionaries, the order that it returns the neighbors is not fixed. This can cause differences in the number of explored nodes from run to run. The primary lesson is to use an indirect approach, such as hidden markov models, or to take an alternative approach of training a system to to tell you which features matter (given a set of potentially relevant features). This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. assuming that temperature affects the alarm probability): Use function BayesNet.add_edge(,). Sanity check for making sure a move is within the bounds of the board. Unexpected token < in JSON at position 4 SyntaxError: Unexpected token < in JSON at position 4 Refresh CS6601_Assignment_2 . tridirectional_search() should return a path between all three nodes. Frequently Asked Questions Along with Issues and Solutions Used to initialize board copy. No description, website, or topics provided. What's the codefor a simple maze game in C++. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. (691 Documents), CS 6515 - Intro to Grad Algorithms (see the Isolated Sign Language Recognition Corpus). Given that local beam search k = 1 , it is only on adjacent and only one move to go. There was a problem preparing your codespace, please try again. You will implement several graph search algorithms with the goal of solving bi-directional and tri-directional search. Cannot retrieve contributors at this time. What have you learned? You must index into the correct position in prob to obtain the particular probability value you are looking for. print_moves: bool, Should the method print details of the game in real time . For example, to connect the alarm and temperature nodes that you've already made (i.e. Return your name from the function aptly called return_your_name(). Contribute to repogit44/CS6601-2 development by creating an account on GitHub. This way, when you print counter, you get counter = 1, right? :), We have included the "Haversine" heuristic in the. Remember that this requires starting your search at both the start and end states. Adapt the concept of probabilistic learning. Use Git or checkout with SVN using the web URL. (If your version of git does not support recurse clone, then clone without the option and run git submodule init and git submodule update). Individual tests can be run using the following: You need to include start and goal in the path. Hint 3: You'll also want to use the random package, e.g. A key lesson from this portion of the course is the need to manage the size of a search space. When nodes in the priority queue have the same priority value, break ties according to FIFO. Ans: You may have run a cell that modifies that variable too many times. Hint: Initializes and updates move_history variable, enforces timeouts, and prints the game. Each move in move history takes the form of (row, column). Hint 4: After you have implemented make_power_plant_net(), you can run the following test in the command line to make sure your network is set up correctly. No reason to drop just because of assignment 1. In particular, what I felt was missing from the book was an integrative approach that tackles systems design design by incorporating multiple AI techniques. There is a search_submission_tests.py file to help you along the way. to use Codespaces. Add Tabular conditional probability distributions to the bayesian model instance by using following command. T: Traffic, The following is a c++ code that uses the Kalman filter. The value of a variable in one of my cells is not what I expected it to be? It helps in problem solving across a wide variety of domains where a solution isnt immediately clear. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository. Make sure you clean up any changes/modifications/additions you make to the networkx graph structure before you exit the search function. Parameters: time_limit: int, time limit in milliseconds that each player has before they time out. Function for printing board state & indicating possible moves for active player. Contribute to repogit44/CS6601-2 development by creating an account on GitHub. Function to immediately bring a board to a desired state. executable file 62 lines (35 sloc) 2.87 KB Raw Blame Setup Clone this repository recursively: git clone --recursive https://github.gatech.edu/omscs6601/assignment_4.git (If your version of git does not support recurse clone, then clone without the option and run git submodule init and git submodule update ). You can choose any N and delta (with the bounds above), as long as the convergence criterion is eventually met. Don't worry about the probabilities for now. Cannot retrieve contributors at this time. This assignment will cover some of the concepts discussed in the Adversarial Search lectures. Work fast with our official CLI. This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository. AI.txt must be present'. In order to reconstruct your most-likely path after running Viterbi, you'll need to keep track of a back-pointer at each state, which directs you to that state's most-likely predecessor. The local tests provided are used to test the correctness of your implementation of the Priority Queue. You need to use the above mentioned methods to get the neighbors. A simple task to wind down the assignment. If you're at 4 submissions, use your fifth and last submission wisely. Assignment 2 (formerly assignment 1) was similar, but slightly less time consuming to implement. The submission scripts depend on the presence of 2 python packages - requests and future. What are effective ways to prune the search spaces in the context of a two-player zero-sum games? What are the criteria for an admissible search heuristic? You have just completed your final assignment for CS6601 Artificial Intelligence. For simplicity, say that the gauge's "true" value corresponds with its "hot" reading and "false" with its "normal" reading, so the gauge would have a 95% chance of returning "true" when the temperature is hot and it is not faulty. We'll say that the sampler has converged when, for "N" successive iterations, the difference in expected outcome for the 3rd match differs from the previous estimated outcome by less than "delta". While you'll only have to edit and submit submission.py, there are a number of notable files: Points for each section are awarded based on finding the correct path and by evaluating the number of nodes explored. You will find the following resources helpful for this assignment. This is similar to the issue from Question 2. You'll need to implement euclidean_dist_heuristic() then pass that function to a_star() as the heuristic parameter. Unlike Gibbs, in case of MH, the returned state can differ from the initial state at more than one variable. A note on visualizing results for the Atlanta graph: Exercise 1: Bidirectional uniform-cost search, Exercise 4: Upgraded Tridirectional search, Finding Optimal Solutions to Rubik's Cube Using Pattern Databases, God's Number is 26 in the Quarter-Turn Metric, Reach for A: An Efficient Point-to-Point Shortest Path Algorithm, Computing the Shortest Path: A Search Meets Graph Theory, Reach-based Routing: A New Approach to Shortest Path Algorithms Optimized for Road Networks, https://en.wikipedia.org/wiki/Haversine_formula, Bi Directional A Star with Additive Approx Bounds, Tri-city search challenge question on Canvas. After computing the mean and std for each state, adjust the boundary between the states. If nothing happens, download GitHub Desktop and try again. performance of your previous implementation. Contribute to repogit44/CS6601-2 development by creating an account on GitHub. First, he is an extraordinarily capable researcher with an impressive career. and the instructions were super specific, like you had to call certain variables 'abc' etc. Teaching Assistant (Assignment 3) ( prasad.ashita[at]gmail.com ) Naman Goyal Teaching Assistant (Assignment 2) ( naman.goyal21[at]gmail.com ) C o u r s e D e s c r i p t i o n CS6601 is a survey of the field of Artificial Intelligence and will oen be taken as the first graduate course in the area. Are you sure you want to create this branch? "Please type 'yes' to agree and continue>", 'Include this flag to sign up for the playoffs. CS 6601 Assignment 3: Bayes Nets. By combining these techniques, a rational agent can make decisions in complex environments: those with non-deterministic actions and partial observability, formulated as partially-observable markov decision processes (POMDPs). Learn more. CS6601_Assignment_4 . Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. You can use it here too if you want to be consistent. sign in Feel free to use it. Now you meet the '3 hidden states per sample' requirement. Note: DO NOT USE the given inference engines or pgmpy samplers to run the sampling method, since the whole point of sampling is to calculate marginals without running inference. I chose gesture recognition primarily because it is a hard problem (an inverse perception problem). Combining search and logic naturally leads to a planning activity: devising a plan (of actions) in order to achieve goals. Learn more about bidirectional Unicode characters. - There was a problem preparing your codespace, please try again. - simple assignment with two dozens of functions that varied between 2-20 lines of code each. As shown in the diagram below, each one of the three words (ALLIGATOR, NUTS, and SLEEP) has exactly THREE hidden states in its HMM. There are three frisbee teams who play each other: the Airheads, the Buffoons, and the Clods (A, B and C for short). Repeat this experiment for Metropolis-Hastings sampling. This means consistently exploring fewer nodes during your search in order In all searches that involve calculating path cost or heuristic (e.g. All words must start from State 1 and can only transit to the next state or stay in the current one. You can access all the neighbors of a given node by calling. time_limit: int, time limit in milliseconds that each player has before they time out. of this assignment. # 'C1': .036, 'C2': 0, 'C3': 0, 'C4': 0, 'C5': 0, 'C6': 0, 'C7': 0, 'Cend': 0, # 'L1': 0, 'Lend': 0, 'W1': .857, 'Wend': .036, sequence: a string of most likely decoded letter sequence (like 'A B A CAC', using uppercase). (714 Documents), CS 6750 - Human-Computer Interact You can access the weight of an edge using: You are not allowed to maintain a cache of the neighbors for any node. Useful for testing purposes; call board.play_isolation() afterwards to play, board_state: list[str], Desired state to set to board, p1_turn: bool, Flag to determine which player is active, # set last move to the first found occurance of 'Q1', # Count X's to get move count + 2 for initial moves, #function to edit to introduce any variant - edited for skid variant by Aoun Hussain (1/28/2022), Apply chosen move to a board state and check for game end, queen_move: (int, int), Desired move to apply. In your Gradescope submission history, you can mark a certain submission as 'Active'. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. Implement bidirectional A* search. print_moves: bool, Should the method print details of the game in real time. The children for mode n1 is n2 as the same the children for the mode n2 is the terminal node nj . We recognize this is a hard assignment and tri-directional search is a more research-oriented topic than the other search algorithms. Learn more. At a high level, I have two take-aways from the lectures regarding the field of AI: 1) a key insight into AI learning techniques is that they can be used when humans themselves don't understand how we work, and 2) in the future, combining "stochastic" approaches with "symbolic" approaches will prove to be a very powerful method for a systems-based approach to artificial intelligence, fundamentally fusing the researcher's intuition and creativity with the computer's ability to learn patterns in enormous data sets. Implement custom_search() using whatever strategy you like. Upload the resulting submission.py file to the Assignment 6A assignment on Gradescope for feedback. In this assignment we were tasked with implementing our own k-means clustering model and GaussianMixture model. Canvas Videos: These individual signs can be seen in the sign phrases from our dataset: Follow the method described in Canvas Lecture 8: 29. With three colors there will be 18 unique arrangements. You will find the following resources helpful for this assignment. Course Hero is not sponsored or endorsed by any college or university. str: Queen name of the player who's waiting for opponent to take a turn, Get position of inactive player (player waiting for opponent to make move) in [row, column] format, Get position of active player (player actively making move) in [row, column] format.
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