Implementation of reinforcement learning algorithms to solve pacman game. Part of CS188 AI course from UC Berkeley.
Switch branches/tags
Nothing to show
Clone or download
Latest commit 68bfe18 Apr 25, 2017
Permalink
Failed to load latest commit information.
multiagent Search and multi agent Feb 16, 2017
reinforcement tracking Apr 6, 2017
search Search and multi agent Feb 16, 2017
tracking tracking Apr 6, 2017
README.md Update README.md Apr 25, 2017

README.md

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