most citedPaired Open-Ended Trailblazer (POET): Endlessly Generating Increasingly Complex and Diverse Learning Environments and Their Solutions

124 citations · 169 across the 3 of their papers we have counts for

collaborators

3 papers

cs.LG2019★ 37 cited

Hierarchical Reinforcement Learning with Advantage-Based Auxiliary Rewards

Siyuan Li, Rui Wang, Minxue Tang +1

Hierarchical Reinforcement Learning (HRL) is a promising approach to solving long-horizon problems with sparse and delayed rewards. Many existing HRL algorithms either use pre-trai…

cs.NE2019★ 124 cited

Paired Open-Ended Trailblazer (POET): Endlessly Generating Increasingly Complex and Diverse Learning Environments and Their Solutions

Rui Wang, Joel Lehman, Jeff Clune +1

While the history of machine learning so far largely encompasses a series of problems posed by researchers and algorithms that learn their solutions, an important question is wheth…

cs.LG2012★ 8 cited

Approximate Principal Direction Trees

Mark McCartin-Lim, Andrew McGregor, Rui Wang

We introduce a new spatial data structure for high dimensional data called the \emph{approximate principal direction tree} (APD tree) that adapts to the intrinsic dimension of the…