RL-Implement

Introduction

This repository is used to house some algorithm implementations in the field of reinforcement learning. Please feel free to refer to them if needed:)

Implemented algorithm

• Value-based (for CartPole-v1)
  • Q-learning (tabular)
  • DQN
• Policy-based (for CartPole-v1)
  • REINFORCE (with baseline)
  • A2C (Multi-step TD)
• Continuous Control (for MountainCarContinuous-v0)
  • DDPG
  • TD3
  • SAC
  • PPO