Deep Reinforcement Learning in Pac-man. Requirements python==3.5.1 tensorflow==0.8rc Acknoledgements DQN Framework by (made for ATARI / Arcade Learning Environment) deepQN_tensorflow (https://github.com/mrkulk/deepQN_tensorflow) Pac-man implementation by UC Berkeley: The Pac-man Projects - ...
Deep Reinforcement Learning with Open AI Gym – Q learning for playing Pac-Man. Setup The first thing to do is to clone this repository on our computer: $ git clone https://github.com/rocammo/openai-pacman.git Note: It is necessary to have git installed. After cloning, a folder will...
path.exists(path): ---> 20 raise Exception('ROM is missing for %s, see https://github.com/openai/atari-py#roms for instructions' % (game_name,)) 21 return path 22 Exception: ROM is missing for ms_pacman, see https://github.com/openai/atari-py#roms for instructions 在此之后,我还...
介绍 长文预警 | 利用DQN玩吃豆人(Pacman)小游戏mp.weixin.qq.com/s/SJd-3qH4W4GMMLZSmvFk1w 代码(欢迎stars) CharlesPikachu/AIGamesgithub.com/CharlesPikachu/AIGames/tree/master/AIPacman/Algorithm_1发布于 2019-06-23 10:03 内容所属专栏 Charles的皮卡丘 微信公众号:Charles的皮卡丘 订阅专栏...
Multi-agent reinforcement learning algorithms to play the classic game of Pacman. The primary algorithms used include Q-learning, Minimax, and Alpha-beta pruning. Topics reinforcement-learning q-learning alpha-beta-pruning multiagent-reinforcement-learning Resources Readme Activity Stars 1 star ...
Explore foundational AI concepts through the Pac-Man projects, designed for UC Berkeley's CS 188 course. Implement search algorithms, multi-agent strategies, and reinforcement learning techniques in Python, emphasizing real-world applications. Engage in the Eutopia Pac-Man contest for a multiplayer cap...
Project 3: Tracking (Exact Inference, Approximate Inference, Joint Particle Filter) Project 4: Reinforcement Learning(Value Iteration, Q-Learning) Source: http://ai.berkeley.edu/project_overview.html About No description, website, or topics provided. Resources Readme License MIT license Activ...
reinforcement-learning pytorch pacman imitation-learning ddqn prioritized-experience-replay Resources Readme Activity Stars 3 stars Watchers 1 watching Forks 0 forks Report repository Releases No releases published Packages No packages published Languages Jupyter Notebook 89.3% Python 10.7% Foot...
Using N-step dueling DDQN with PER for learning how to play a Pacman game Summary DeepMind published its famous paper Playing Atari with Deep Reinforcement Learning, in which a new algorithm called DQN was implemented. It showed that an AI agent could learn to play games by simply watching ...
The result of top 10 are as follow where our team come 1st place with a Reinforcement Learning agent. For a full list of team, archieve results available at /results/results_2020-10-30-13-08-a: https://auspham.dev/sklearn2-RMITAI2020-Replays/results/results_2020-10-30-13-08-a Requi...