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hub / github.com/LiSir-HIT/Reinforcement-Learning

github.com/LiSir-HIT/Reinforcement-Learning @main

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118 symbols 295 edges 22 files 0 documented · 0%
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Core symbols most depended-on inside this repo

reset
called by 10
build_env/pygame/1. Hit the Plane/run_this.py
sample
called by 7
Model/1. DQN/RL_brain.py
update
called by 4
Model/1. DQN/RL_brain.py
render
called by 4
build_env/pygame/2. shopping mall/run_this.py
take_action
called by 2
Model/9. ippo_discrete/RL_brain.py
update
called by 2
Model/9. ippo_discrete/RL_brain.py
soft_update
called by 2
Model/5. DDPG/RL_brain.py
sample
called by 2
Model/8. SAC_Discrete/RL_brain.py

Shape

Method 82
Class 30
Function 6

Languages

Python100%

Modules by API surface

Model/8. SAC_Discrete/RL_brain.py17 symbols
Model/5. DDPG/RL_brain.py16 symbols
build_env/pygame/1. Hit the Plane/run_this.py12 symbols
Model/1. DQN/RL_brain.py12 symbols
Model/9. ippo_discrete/RL_brain.py10 symbols
Model/7. PPO_Continuous/RL_brain.py10 symbols
Model/6. PPO_Discrete/RL_brain.py10 symbols
Model/4. Actor-Critic/RL_brain.py10 symbols
Model/3. Policy-Gradients/RL_brain.py9 symbols
Model/2. Double-DQN/RL_brain.py9 symbols
build_env/pygame/2. shopping mall/run_this.py3 symbols

For agents

$ claude mcp add Reinforcement-Learning \
  -- python -m otcore.mcp_server <graph>

⬇ download graph artifact