Implementation of deep Reinforcement Learning algorithms on Gymnasium environments using TorchRL.

Algorithms:

• Deep Q-Network (DQN)
• Deep Deterministic Policy Gradient (DDPG)
• Twin Delayed DDPG (TD3)
• Soft Actor-Critic (SAC)
• Proximal Policy Optimization (PPO)

Algorithms implemented without TorchRL (no_lib folder):

• Vanilla Policy Gradient (VPG) (a.k.a. REINFORCE)
• Proximal Policy Optimization (PPO)