Data

Tools

Indexes

Applications

Experiments

Repos

An open API service providing repository metadata for many open source software ecosystems.

GitHub topics: kungfumaster

StarlitDreams/kungfu-A2C

Kung Fu Master A2C Agent is a PyTorch implementation of the Advantage Actor–Critic (A2C) algorithm, engineered to learn and play the Atari classic Kung Fu Master. It uses Gymnasium (with ALE ROMs) to manage multiple parallel environments and a custom preprocessing wrapper.

Language: Python - Size: 774 KB - Last synced at: about 1 month ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

dsinghnegi/atari_RL_agent

RL based agent for atari games

Language: Python - Size: 131 MB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 5 - Forks: 1

Related Keywords
atari 2 kungfumaster 2 pytorch 2 reinforcement-learning 2 tensorboard 1 prioritized-experience-replay 1 pong 1 lstm 1 experience-replay 1 dueling-network-architecture 1 dueling-dqn 1 dqn-pytorch 1 dqn 1 double-dqn 1 breakout 1 atari-games 1 a3c-agent 1 a3c 1 python3 1 python 1 image-preprocessing 1 gymnasium 1 deep-reinforcement-learning 1 convolutional-neural-networks 1 agentic-ai 1 actor-critic 1 a2c-agent 1 a2c 1