chagmgang / Tf2.0_reinforcement_learning
Basic reinforcement learning implementation with tensorflow version 2.0
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Reinforcement Learning with Tensorflow 2.0
Value Based Reinforcement Learning(Click to code)
Policy Based Reinforcement Learning(Click to code)
Advantage(Click to code)
Reference
- Deep Q Learning
- Double Deep Q Learning
- Dueling Deep Q Learning
- Prioritized Experience Replay
- Actor Critic
- Proximal Policy Optimization
- High-Dimensional Continuous Control Using Generalized Advantage Estimation
- tf2.0-Guide
- Implicit Quantile Networks for Distributional Reinforcement Learning
- Multi Step Learning
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