Implementation of selected Reinforcement Learning Algorithms using Pytorch on environments from OpenAI gym.

Algorithms:

• REINFORCE algorithm
• Simple Actor-Critic with shared weights
• Actor-Critic without shared weights & GAE
• PPO without shared weights & GAE & early stopping with KL
• PPO without shared weights & GAE & mini batches
• PPO with continuous action space on Lunar Lander environment
• DDPG on the Pendulum environment
• PPO with continous action space & RNN & vectorized environments

Helpful stuff:

• Demonstration of saving, loading and creating a video of Pytorch network (save_load_and_video.ipynb)
• Creating, Saving and Loading Checkpoints for RL training loops