Reinforcement_Learning
Reinforcement learning tutorials
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Download Latest Version (.zip)- CartPole_test.gif
- image.png
- math.PNG
- testing_model.PNG
- training_model.PNG
- cartpole-dqn.h5
- Cartpole_DQN.py
- cartpole_random.py
- DDQN_CartPole-v1.png
- DDQN_CartPole-v1_soft.png
- DQN_CartPole-v1.png
- Cartpole_DDQN.py
- Cartpole_DDQN_TF2.py
- DDQN_CartPole-v1.png
- DDQN_CartPole-v1_Dueling.png
- DQN_CartPole-v1_Dueling.png
- Cartpole_Double_DDQN.py
- Cartpole_Double_DDQN_TF2.py
- DDQN_CartPole-v1_Dueling_Greedy.png
- Cartpole_e_greedy_D3QN.py
- Cartpole_e_greedy_D3QN_TF2.py
- DDQN_CartPole-v1_Dueling.png
- DDQN_CartPole-v1_Dueling_PER.png
- Replay_buffer.png
- SumTree.png
- Cartpole_PER_D3QN.py
- Cartpole_PER_D3QN_TF2.py
- PER.py
- Cartpole_PER_D3QN_CNN.py
- Cartpole_PER_D3QN_CNN_TF2.py
- PER.py
- random_game.py
- DDQN_Pong-v0_CNN.png
- DDQN_Pong-v0_Dueling_CNN.png
- DDQN_Pong-v0_Dueling_PER_CNN.png
- DQN_Pong-v0_CNN.png
- Pong-v0_DDQN_CNN.h5
- Pong-v0_DDQN_Dueling_CNN.h5
- Pong-v0_DDQN_Dueling_PER_CNN.h5
- Pong-v0_DQN_CNN.h5
- PER.py
- Pong-v0_DQN_CNN.py
- Pong-v0_DQN_CNN_TF2.py
- Pong-v0_PG_2.5e-05.png
- PongDeterministic-v4_PG_0.0001.png
- Pong-v0_PG.py
- Pong-v0_PG_TF2.py
- Pong-v0_A2C_2.5e-05.png
- PongDeterministic-v4_A2C_2.5e-05.png
- Pong-v0_A2C.py
- Pong-v0_A2C_TF2.py
- Pong-v0_A3C.py
- Pong-v0_A3C_TF2.py
- PongDeterministic-v4_A3C_2.5e-05.png
- Pong-v0_APPO_0.0001_Actor_CNN.h5
- gameplay.gif
- gameplay_CNN.gif
- Pong-v0_APPO_0.0001_CNN.png
- Pong-v0_APPO_0.0001_RMSprop.png
- Pong-v0_PPO.py
- Pong-v0_PPO_gif.py
- Pong-v0_PPO_TF2.py
- PongDeterministic-v4_APPO_0.0001.png
- BipedalWalker-v3_PPO.py
- BipedalWalker-v3_PPO_Actor.h5
- BipedalWalker-v3_PPO_Critic.h5
- BipedalWalker-v3_training.png
- gameplay.gif
- gameplay.gif
- LunarLander-v2.png
- LunarLander-v2_PPO.py
- LunarLander-v2_PPO_Actor.h5
- LunarLander-v2_PPO_Critic.h5
- LICENSE.md
- README.md
- requirements.txt
# Installation Guide
1. Get the code
git clone https://github.com/pythonlessons/Reinforcement_Learning
Downloads the entire project code from GitHub to your computer.
cd Reinforcement_Learning
Moves into the project folder you just downloaded.
2. Python
Easy RecommendedPrerequisites
pip install -r requirements.txt
Installs the Python libraries listed in requirements.txt (or similar).
python <์คํํ ํ์ผ๋ช
>.py # README์์ ์ ํํ ์คํ ํ์ผ๋ช
์ ํ์ธํ์ธ์
Runs the Python script (or module).
If it runs without errors and prints output in the terminal, it worked.
// repository documentation
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