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README

DRL-code-pytorch

Concise pytorch implementations of DRL algorithms, including REINFORCE, A2C, Rainbow DQN, PPO(discrete and continuous), DDPG, TD3, SAC, PPO-discrete-RNN(LSTM/GRU).

Dependencies

python==3.7.9

numpy==1.19.4

pytorch==1.12.0

tensorboard==0.6.0

gym==0.21.0

Core symbols most depended-on inside this repo

reset

called by 17

4.PPO-discrete/normalization.py

actor

called by 15

9.PPO-discrete-RNN/ppo_discrete_rnn.py

critic

called by 15

9.PPO-discrete-RNN/ppo_discrete_rnn.py

mean

called by 14

5.PPO-continuous/ppo_continuous.py

orthogonal_init

called by 10

5.PPO-continuous/ppo_continuous.py

drawing_LL

called by 6

3.Rainbow_DQN/drawing_Rainbow_DQN.py

orthogonal_init

called by 6

4.PPO-discrete/ppo_discrete.py

orthogonal_init

called by 6

9.PPO-discrete-RNN/ppo_discrete_rnn.py

Shape

Method 161

Class 52

Function 20

Languages

Python100%

Modules by API surface

3.Rainbow_DQN/replay_buffer.py20 symbols

5.PPO-continuous/ppo_continuous.py19 symbols

7.TD3/TD3.py17 symbols

8.SAC/SAC-continuous.py16 symbols

6.DDPG/DDPG.py16 symbols

9.PPO-discrete-RNN/ppo_discrete_rnn.py14 symbols

4.PPO-discrete/ppo_discrete.py13 symbols

3.Rainbow_DQN/network.py12 symbols

1.REINFORCE/REINFORCE_baseline.py12 symbols

2.Actor-Critic/A2C.py11 symbols

9.PPO-discrete-RNN/normalization.py10 symbols

5.PPO-continuous/normalization.py10 symbols

For agents

$ claude mcp add DRL-code-pytorch \
  -- python -m otcore.mcp_server <graph>

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