Reinforcement Learning Experience Reuse with Policy Residual Representation

31 May 2019Wen-Ji ZhouYang YuYingfeng ChenKai GuanTangjie LvChangjie FanZhi-Hua Zhou

Experience reuse is key to sample-efficient reinforcement learning. One of the critical issues is how the experience is represented and stored... (read more)

PDF Abstract

Code


No code implementations yet. Submit your code now

Tasks


Results from the Paper


  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper


METHOD TYPE
🤖 No Methods Found Help the community by adding them if they're not listed; e.g. Deep Residual Learning for Image Recognition uses ResNet