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Implementation of reinforcement learning algorithms to solve pacman game. Part of CS188 AI course from UC Berkeley.

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Name		Name	Last commit message	Last commit date
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multiagent		multiagent
reinforcement		reinforcement
search		search
tracking		tracking
README.md		README.md

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pacman-AI

Implementation of various AI techniques to solve pacman game. It is part of CS188 AI course from UC Berkeley.

Topics include:

Search: DFS, BFS, UCS, A*, Herustics

Multi-Agent Search: Reflex Agents, Minimax, Alpha-beta pruning, Expectimax

Reinforcement: Value Iteration, Policies, TD-Learning, Q-Learning, Approximate Q-Learning

Bayes' Net and Filtering: Exact Inference, Approximate Inference, Particle Filtering

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Implementation of reinforcement learning algorithms to solve pacman game. Part of CS188 AI course from UC Berkeley.

q-learning a-star particle-filter breadth-first-search alpha-beta-pruning bayes-network depth-first-search minimax-search td-learning expectimax ucs

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