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Implement the A2C(Advantage Actor-Critic) algorithm using pytorch in multiple environments of openai gym. (Including Cartpole, LunarLander, Pong. Breakout is tuning and maybe complete soon.) Sometime implement the REINFORCE algorithm as variations of A2C.

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A2C-Pytorch-implementations

Basic knowledge on A2C algorithm:
Understanding Actor Critic Methods and A2C

Requriement

  • Python 3.8
  • Pytorch 1.7.0
  • OpenAI gym 0.17.3

Navigation

  • alg/ - Implementation of A2C and PG.
  • model/ - Neural networks using for RL.
  • utils.py - Command utility methods to process envs, hand-craft optimizers and so on.

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Implement the A2C(Advantage Actor-Critic) algorithm using pytorch in multiple environments of openai gym. (Including Cartpole, LunarLander, Pong. Breakout is tuning and maybe complete soon.) Sometime implement the REINFORCE algorithm as variations of A2C.

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