Name		Name	Last commit message	Last commit date
parent directory ..
.ipynb_checkpoints		.ipynb_checkpoints
logs/DDPG_1		logs/DDPG_1
.DS_Store		.DS_Store
16.04. Playing Atari games with DQN and its variants.ipynb		16.04. Playing Atari games with DQN and its variants.ipynb
16.05. Implementing DQN variants.ipynb		16.05. Implementing DQN variants.ipynb
16.06. Lunar Lander using A2C.ipynb		16.06. Lunar Lander using A2C.ipynb
16.07. Creating a custom network.ipynb		16.07. Creating a custom network.ipynb
16.08. Swinging up a pendulum using DDPG.ipynb		16.08. Swinging up a pendulum using DDPG.ipynb
16.09. Training an agent to walk using TRPO.ipynb		16.09. Training an agent to walk using TRPO.ipynb
16.10. Training cheetah bot to run using PPO.ipynb		16.10. Training cheetah bot to run using PPO.ipynb
README.md		README.md

README.md

16. Deep Reinforcement Learning with Stable Baselines

16.1. Creating our First Agent with Baseline
- 16.1.1. Evaluating the Trained Agent
- 16.1.2. Storing and Loading the Trained Agent
- 16.1.3. Viewing the Trained Agent
- 16.1.4. Putting it all Together
16.2. Multiprocessing with Vectorized Environments
- 16.2.1. SubprocVecEnv
- 16.2.2. DummyVecEnv
16.3. Integrating the Custom Environments
16.4. Playing Atari Games with DQN and its Variants
- 16.4.1. Implementing DQN Variants
16.5. Lunar Lander using A2C
- 16.5.1. Creating a Custom Network
16.6. Swinging up a Pendulum using DDPG
- 16.6.1. Viewing the Computational Graph in TensorBoard
16.7. Training an Agent to Walk using TRPO
- 16.7.1. Installing MuJoCo Environment
- 16.7.2. Implementing TRPO
- 16.7.3. Recoding the video
16.8. Training Cheetah Bot to Run using PPO
- 16.8.1. Making a GIF of a Trained Agent
- 16.8.2. Implementing GAIL