Near-Optimal Representation Learning for Hierarchical Reinforcement Learning

2 October 2018

Papers citing "Near-Optimal Representation Learning for Hierarchical Reinforcement Learning"

7 / 57 papers shown

Title
Learning Representations in Reinforcement Learning:An Information Bottleneck Approach Yingjun Pei Xinwen Hou SSL 39 10 0 12 Nov 2019
HRL4IN: Hierarchical Reinforcement Learning for Interactive Navigation with Mobile Manipulators Chengshu Li Fei Xia R. M. Martin Silvio Savarese 30 100 0 24 Oct 2019
Why Does Hierarchy (Sometimes) Work So Well in Reinforcement Learning? Ofir Nachum Haoran Tang Xingyu Lu S. Gu Honglak Lee Sergey Levine 29 100 0 23 Sep 2019
Dynamics-aware Embeddings William F. Whitney Rajat Agarwal Kyunghyun Cho Abhinav Gupta SSL 25 53 0 25 Aug 2019
Compositional Transfer in Hierarchical Reinforcement Learning Markus Wulfmeier A. Abdolmaleki Roland Hafner Jost Tobias Springenberg Michael Neunert Tim Hertweck Thomas Lampe Noah Y. Siegel N. Heess Martin Riedmiller 30 27 0 26 Jun 2019
Unsupervised State Representation Learning in Atari Ankesh Anand Evan Racah Sherjil Ozair Yoshua Bengio Marc-Alexandre Côté R. Devon Hjelm SSL 44 254 0 19 Jun 2019
Learning Compositional Neural Programs with Recursive Tree Search and Planning Thomas Pierrot Guillaume Ligner Scott E. Reed Olivier Sigaud Nicolas Perrin Alexandre Laterre David Kas Karim Beguir Nando de Freitas 41 41 0 30 May 2019