d500: Reinforcement Learning Examples

Reinforcement Learning Examples (from: https://github.com/rlcode/reinforcement-learning):

Grid World – Mastering the basics of reinforcement learning in the simplified world called “Grid World”

• Policy Iteration
• Value Iteration
• Monte Carlo
• SARSA
• Q-Learning
• Deep SARSA
• REINFORCE

CartPole – Applying deep reinforcement learning on basic Cartpole game.

• Deep Q Network
• Double Deep Q Network
• Policy Gradient
• Actor Critic (A2C)
• Asynchronous Advantage Actor Critic (A3C)

Atari – Mastering Atari games with Deep Reinforcement Learning

• Breakout – DQN, DDQNDueling DDQNA3C
• Pong – Policy Gradient, A3C

OpenAI GYM – [WIP]

• Mountain Car – DQN