PolRoudier/rl_papers

강화학습 논문들 모음

Reinforcement Learning Papers

강화학습 Paper들을 정리합니다.

• [DQN] Playing Atari with Deep Reinforcement Learning [2013.12]
  • paper : https://arxiv.org/abs/1312.5602
  • github :
• [TRPO] Trust Region Policy Optimization [2015.02]
  • paper : https://arxiv.org/abs/1502.05477
  • github :
• [PPO] Proximal Policy Optimization Algorithms [2017.07]
  • paper : https://arxiv.org/abs/1707.06347
  • github :
• [Rainbow DQN] Rainbow: Combining Improvements in Deep Reinforcement Learning [2017.10]
  • paper : https://arxiv.org/abs/1710.02298
  • github :
• [WorldModel] World Models [2018.03]
  • paper : https://arxiv.org/abs/1803.10122
  • github :
• [RUDDER] RUDDER: Return Decomposition for Delayed Rewards [2018.06]
  • paper : https://arxiv.org/abs/1806.07857
  • github :
• [R2D2] Recurrent Experience Replay in Distributed Reinforcement Learning [2018.11]
  • paper : https://openreview.net/forum?id=r1lyTjAqYX
  • github :
• [RND] Exploration by random distillation [2018.11]
  • paper : https://openreview.net/forum?id=H1lJJnR5Ym
  • github :

Repository Reference

the-gan-zoo Repository를 참조했습니다.
github : https://github.com/hindupuravinash/the-gan-zoo