My-RL-Algos
尝试全部自己实现主流强化学习算法,使用面向对象的范式,尽量做到接口简洁明了,整体模块化。
计划算法包括
-
vpg.py
: Vanilla Policy Gradient (with GAE-lambda Advantage)- 离散控制
- 连续控制
-
ddpg.py
: DDPG (Deep Deterministic Policy Gradient) - TRPO
- PPO
- TD3
- A2C
- A3C
- SAC
自己尝试实现主流强化学习算法,使用 PyTorch。
尝试全部自己实现主流强化学习算法,使用面向对象的范式,尽量做到接口简洁明了,整体模块化。
计划算法包括
vpg.py
: Vanilla Policy Gradient (with GAE-lambda Advantage)
ddpg.py
: DDPG (Deep Deterministic Policy Gradient)A declarative, efficient, and flexible JavaScript library for building user interfaces.
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