Reproducibility of Benchmarked Deep Reinforcement Learning Tasks for Continuous Control

10 Aug 2017Riashat IslamPeter HendersonMaziar GomrokchiDoina Precup

Policy gradient methods in reinforcement learning have become increasingly prevalent for state-of-the-art performance in continuous control tasks. Novel methods typically benchmark against a few key algorithms such as deep deterministic policy gradients and trust region policy optimization... (read more)

PDF Abstract

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.