RL in a Nutshell

This repo is dedicated for reinforcement learning papers and literature. I'll present summaries and highlights of different reinforcement learning papers and try to show the connections between them.

Value-based methods

• Human-level control through deep reinforcement learning.

  • Summary
  • Paper

• Deep Reinforcement Learning with Double Q-learning.

  • Summary
  • Paper

• Horde: A Scalable Real-time Architecture for Learning Knowledge from Unsupervised Sensorimotor Interaction.

  • Summary
  • Paper

Policy-based methods

• Policy Gradient Methods for Reinforcement Learning with Function Approximation.

  • Summary
  • Paper