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a2c-agent

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AnastasiaML / Computational-Intelligence-And-Deep-Learning-Techniques-In-Developing-Intelligent-Agents-For-Games

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The aim of this repository is the analysis and study of computer intelligence and in-depth learning techniques in the development of intelligent gaming agents.

python machine-learning reinforcement-learning opeani-gym deep-learning deep-reinforcement-learning pytorch atari spaceinvaders mspacman computational-intelligence qbert dqn-agents ppo-agent a2c-agent stable-baselines3 qrdqn
  • Updated Apr 21, 2023
  • Python
kungfu-A2C

StarlitDreams / kungfu-A2C

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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.

python reinforcement-learning deep-reinforcement-learning python3 pytorch convolutional-neural-networks atari gymnasium actor-critic image-preprocessing a2c kungfumaster a2c-agent agentic-ai
  • Updated Jul 23, 2025
  • Python

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