This project focuses on implementing Twin Delay DDPG. The algorithm is implemented in Python, and is
benchmarked in various simple environments against existing implementations
- Continuous control with deep reinforcement learning - this is the original DDPG paper
- Addressing Function Approximation Error in Actor-Critic Methods - this is the TD3 Paper that addresses issues found in DDPG
- Abseil
- Argument parsing
- PyTorch
- DL Framework
- Gymnasium
- RL Environments