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ai-pacman-multiagent

Solutions to the second AI Pacman assignment from UC Berkeley CS188.

artificial-intelligence-berkeley-cs188

Learned about search problems (A*, CSP, minimax), reinforcement learning, bayes nets, hidden markov models, and machine learning

baetyl

Extend cloud computing, data and service seamlessly to edge devices.

comp7606

cs188-projects

CS188 Artificial Intelligence @UC Berkeley

edx-cs188.1x-artificial-intelligence

Projects from the edX (BerkleyX) course: CS188.1x Artificial Intelligence

multiagentpacman

This is the second project of the Spring 2014 CS 188 (Introduction to Artificial Intelligence) class at UC Berkeley. It implements a pacman who can play against adversarial agents with dynamic tree look up (both Minimax and Expectimax). it optimizes tree lookup with AlphaBetaPruning and finally contains a master strategy in the form of the betterEvaluationFunction (in multiAgents.py) for evaluating each state in the tree.

pacman

pacman, search problem, BFS, DFS, AStarSearch

pacman-ai

PacMan Machine Learning Artificial Intelligence Project

project-2-multi-agent-pacman

Decision making & Game theory in python.

pytorch_classification

利用pytorch实现图像分类的一个完整的代码，训练，预测，TTA，模型融合，模型部署，cnn提取特征，svm或者随机森林等进行分类，模型蒸馏，一个完整的代码

tictactoe

TicTacToe ❌⭕, A Classic Game Build with Python.

weakalign

End-to-end weakly-supervised semantic alignment