Some-RL-Implementation (more to be added)

1. Policy gradients in TensorFlow for CartPole environment in OpenAI gym
2. Partial implementation of the paper Neural Network Dynamics for Model-Based Deep Reinforcement Learning with Model-Free Fine-Tuning (https://arxiv.org/pdf/1708.02596.pdf)
3. Implementation of the bit-flipping example in the paper Hindsight Experience Replay (https://arxiv.org/pdf/1707.01495.pdf)
4. Proximal Policy Optimization (PPO) Algorithms
5. Conservative Q-Learning for Offline Reinforcement Learning (https://arxiv.org/abs/2006.04779) and Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning (https://arxiv.org/abs/2303.05479)