Deep Reinforment Learning gallery
Deep reinforcement learning methods implemented in tensorflow2
Requirements
python>=3.7
, tensorflow>=2.1
, ray>=1.0
DQN (Deep Q Network)
Playing Atari with Deep Reinforcement Learning (2013)
Human-level control through deep reinforcement learning (2015)
Double DQN
Deep Reinforcement Learning with Double Q-learning
Dueling Network
Dueling Network Architectures for Deep Reinforcement Learning
Categorical DQN, C51
A Distributional Perspective on Reinforcement Learning
Prioritized Experience Replay
Rainbow
Rainbow: Combining Improvements in Deep Reinforcement Learning
QR-DDN
Distributional Reinforcement Learning with Quantile Regression
FQF
Fully Parameterized Quantile Function for Distributional Reinforcement Learning
Ape-X DQN
Distributed Prioritized Experience Replay
R2D2
Recurrent Experience Replay in Distributed Reinforcement Learning
A3C/A2C (Advantage Actor Critic)
Asynchronous Methods for Deep Reinforcement Learning
DDPG
Deterministic Policy Gradient Algorithms
Continuous control with deep reinforcement learning
TD3
Addressing Function Approximation Error in Actor-Critic Methods
TRPO
Trust Region Policy Optimization
PPO
Proximal Policy Optimization Algorithms
SAC
Soft Actor-Critic Algorithms and Applications、Haarnoja et al、2018
Alpha Go Zero / Alpha Zero
A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play
Mastering the game of Go without human knowledge
MuZero
Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model