Reinforcement Learning myself 😂
- Introduction
- Markov Decision Process
- Planning by DP
- Model-Free Prediction
- Model-Free Control
- Function Approximation
- Policy Gradient
- Model-Based RL
- DQN : Playing Atari with Deep Reinforcement Learning
- Double DQN : Deep Reinforcement Learning with Double Q-learning
- PER : Prioritized Experience Replay
- Dueling Network
- TRPO : Trust Region Policy Optimization
- PPO : Proximal Policy Optimization
- DPG : Deterministic Policy Gradient Algorithms
- DDPG : Continuous Control with Deep Reinforcement Learning
- TD3 : Addressing Function Approximation Error in Actor-Critic Methods
- Cartpole
- MountainCar