tf2.0_reinforcement_learning
tf2.0_reinforcement_learning copied to clipboard
Basic reinforcement learning implementation with tensorflow version 2.0
Reinforcement Learning with Tensorflow 2.0
Value Based Reinforcement Learning(Click to code)
-
[x] Deep Q Learning
-
[x] Double Deep Q Learning
-
[x] Dueling Deep Q Learning
-
[x] Prioritized Experience Replay
-
[x] Multi Step Learning
-
[x] Implicit Quantile Networks for Distributional Reinforcement Learning
-
[x] DQN, IQN, Double, Dueling, PER, MultiStep
Policy Based Reinforcement Learning(Click to code)
-
[x] Actor Critic
-
[x] Proximal Policy Optimization
Advantage(Click to code)
- [x] High-Dimensional Continuous Control Using Generalized Advantage Estimation
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