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RL-Implementation

RL Implementation based on https://github.com/seungeunrho/minimalRL

  1. DQN (CartPole) : Playing Atari with Deep Reinforcement Learning
  2. DDPG (Pendulum) : Continuous control with deep reinforcement learning
  3. TD3 (Pendulum) : Addressing Function Approximation Error in Actor-Critic Methods
  4. A3C (CartPole) : Asynchronous Methods for Deep Reinforcement Learning
  5. PPO (CartPole) : Proximal Policy Optimization Algorithms

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