Deep-Reinforcement-Learning-Practice

Practice of Deep Reinforcement Learning with Keras and gym.

Continuous updating...

Algorithm

#	Name	Paper
1	DQN	Playing Atari with Deep Reinforcement Learning
2	Nature DQN	Human-level control through deep reinforcement learning
3	Double DQN	Deep Reinforcement Learning with Double Q-learning
4	Dueling DQN	Dueling Network Architectures for Deep Reinforcement Learning
5	Actor-Critic	Actor-Critic Algorithms
6	Policy Network	Policy gradient methods for reinforcement learning with function approximation
7	DDPG	Continuous Control with Deep Reinforcement Learning
8	PPO_TF	Proximal Policy Optimization Algorithms
9	A3C	Asynchronous Methods for Deep Reinforcement Learning

Name		Name	Last commit message	Last commit date
Latest commit History 14 Commits
game		game
history		history
image		image
model		model
.gitignore		.gitignore
A3C_sparse.py		A3C_sparse.py
AC_continue.py		AC_continue.py
AC_sparse.py		AC_sparse.py
DDPG.py		DDPG.py
DQN.py		DQN.py
DRL.py		DRL.py
DoubleDQN.py		DoubleDQN.py
DuelingDQN.py		DuelingDQN.py
NatureDQN.py		NatureDQN.py
PPO_TF.py		PPO_TF.py
PolicyNetwork.py		PolicyNetwork.py
README.md		README.md