Hierarchical Skills for Efficient Exploration

20 October 2021

Papers citing "Hierarchical Skills for Efficient Exploration"

39 / 39 papers shown

Title
Leveraging Skills from Unlabeled Prior Data for Efficient Online Exploration Max Wilcoxson Qiyang Li Kevin Frans Sergey Levine SSL OffRL OnRL 168 0 0 23 Oct 2024
Hierarchical Reinforcement Learning By Discovering Intrinsic Options Jesse Zhang Haonan Yu Wenyuan Xu BDL 202 82 0 16 Jan 2021
OPAL: Offline Primitive Discovery for Accelerating Offline Reinforcement Learning Anurag Ajay Aviral Kumar Pulkit Agrawal Sergey Levine Ofir Nachum OffRL OnRL 85 159 0 26 Oct 2020
Accelerating Reinforcement Learning with Learned Skill Priors Karl Pertsch Youngwoon Lee Joseph J. Lim OffRL OnRL 100 239 0 22 Oct 2020
D2RL: Deep Dense Architectures in Reinforcement Learning Samarth Sinha Homanga Bharadhwaj A. Srinivas Animesh Garg OffRL AI4CE 95 56 0 19 Oct 2020
Planning in Learned Latent Action Spaces for Generalizable Legged Locomotion Tianyu Li Roberto Calandra Deepak Pathak Yuandong Tian Franziska Meier Akshara Rai 60 30 0 27 Aug 2020
Learning Robot Skills with Temporal Variational Inference Tanmay Shankar Abhinav Gupta DRL BDL 78 75 0 29 Jun 2020
dm_control: Software and Tasks for Continuous Control Yuval Tassa S. Tunyasuvunakool Alistair Muldal Yotam Doron Piotr Trochim ... Steven Bohez J. Merel Tom Erez Timothy Lillicrap N. Heess LM&Ro 94 416 0 22 Jun 2020
Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills Victor Campos Alexander R. Trott Caiming Xiong R. Socher Xavier Giró-i-Nieto Jordi Torres OffRL 87 155 0 10 Feb 2020
Discrete and Continuous Action Representation for Practical RL in Video Games Olivier Delalleau Maxim Peter Eloi Alonso Adrien Logut 57 53 0 23 Dec 2019
Why Does Hierarchy (Sometimes) Work So Well in Reinforcement Learning? Ofir Nachum Haoran Tang Xingyu Lu S. Gu Honglak Lee Sergey Levine 64 102 0 23 Sep 2019
Dynamics-aware Embeddings William F. Whitney Rajat Agarwal Kyunghyun Cho Abhinav Gupta SSL 59 53 0 25 Aug 2019
Dynamics-Aware Unsupervised Discovery of Skills Archit Sharma S. Gu Sergey Levine Vikash Kumar Karol Hausman 101 412 0 02 Jul 2019
Sub-policy Adaptation for Hierarchical Reinforcement Learning Alexander C. Li Carlos Florensa I. Clavera Pieter Abbeel 65 74 0 13 Jun 2019
Composing Task-Agnostic Policies with Deep Reinforcement Learning A. H. Qureshi Jacob J. Johnson Yuzhe Qin Taylor Henderson Byron Boots Michael C. Yip OffRL 69 30 0 25 May 2019
MCP: Learning Composable Hierarchical Control with Multiplicative Compositional Policies Xue Bin Peng Michael Chang Grace Zhang Pieter Abbeel Sergey Levine 74 197 0 23 May 2019
Soft Actor-Critic Algorithms and Applications Tuomas Haarnoja Aurick Zhou Kristian Hartikainen George Tucker Sehoon Ha ... Vikash Kumar Henry Zhu Abhishek Gupta Pieter Abbeel Sergey Levine 143 2,449 0 13 Dec 2018
Neural probabilistic motor primitives for humanoid control J. Merel Leonard Hasenclever Alexandre Galashov Arun Ahuja Vu Pham Greg Wayne Yee Whye Teh N. Heess 82 160 0 28 Nov 2018
Hierarchical visuomotor control of humanoids J. Merel Arun Ahuja Vu Pham S. Tunyasuvunakool Siqi Liu Dhruva Tirumala N. Heess Greg Wayne 97 97 0 23 Nov 2018
Hierarchical Approaches for Reinforcement Learning in Parameterized Action Space E. Wei Drew Wicke S. Luke BDL 63 35 0 23 Oct 2018
Near-Optimal Representation Learning for Hierarchical Reinforcement Learning Ofir Nachum S. Gu Honglak Lee Sergey Levine 63 211 0 02 Oct 2018
Variational Option Discovery Algorithms Joshua Achiam Harrison Edwards Dario Amodei Pieter Abbeel DRL 72 180 0 26 Jul 2018
Data-Efficient Hierarchical Reinforcement Learning Ofir Nachum S. Gu Honglak Lee Sergey Levine OffRL 99 811 0 21 May 2018
Learning by Playing - Solving Sparse Reward Tasks from Scratch Martin Riedmiller Roland Hafner Thomas Lampe Michael Neunert Jonas Degrave T. Wiele Volodymyr Mnih N. Heess Jost Tobias Springenberg 90 448 0 28 Feb 2018
Diversity is All You Need: Learning Skills without a Reward Function Benjamin Eysenbach Abhishek Gupta Julian Ibarz Sergey Levine 111 1,088 0 16 Feb 2018
Divide-and-Conquer Reinforcement Learning Dibya Ghosh Avi Singh Aravind Rajeswaran Vikash Kumar Sergey Levine OffRL 80 127 0 27 Nov 2017
Emergence of Locomotion Behaviours in Rich Environments N. Heess TB Dhruva S. Sriram Jay Lemmon J. Merel ... Tom Erez Ziyun Wang S. M. Ali Eslami Martin Riedmiller David Silver 202 938 0 07 Jul 2017
Learning human behaviors from motion capture by adversarial imitation J. Merel Yuval Tassa TB Dhruva S. Srinivasan Jay Lemmon Ziyun Wang Greg Wayne N. Heess GAN 67 202 0 07 Jul 2017
Stochastic Neural Networks for Hierarchical Reinforcement Learning Carlos Florensa Yan Duan Pieter Abbeel BDL 95 361 0 10 Apr 2017
FeUdal Networks for Hierarchical Reinforcement Learning A. Vezhnevets Simon Osindero Tom Schaul N. Heess Max Jaderberg David Silver Koray Kavukcuoglu FedML 96 907 0 03 Mar 2017
A Laplacian Framework for Option Discovery in Reinforcement Learning Marlos C. Machado Marc G. Bellemare Michael Bowling 89 263 0 02 Mar 2017
Variational Intrinsic Control Karol Gregor Danilo Jimenez Rezende Daan Wierstra DRL OffRL 88 429 0 22 Nov 2016
#Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning Haoran Tang Rein Houthooft Davis Foote Adam Stooke Xi Chen Yan Duan John Schulman F. Turck Pieter Abbeel OffRL 106 775 0 15 Nov 2016
The Option-Critic Architecture Pierre-Luc Bacon J. Harb Doina Precup OffRL 64 1,089 0 16 Sep 2016
OpenAI Gym Greg Brockman Vicki Cheung Ludwig Pettersson Jonas Schneider John Schulman Jie Tang Wojciech Zaremba OffRL ODL 223 5,085 0 05 Jun 2016
Benchmarking Deep Reinforcement Learning for Continuous Control Yan Duan Xi Chen Rein Houthooft John Schulman Pieter Abbeel OffRL 84 1,695 0 22 Apr 2016
Reinforcement Learning with Parameterized Actions W. Masson Pravesh Ranchod George Konidaris 147 208 0 05 Sep 2015
Swing-twist decomposition in Clifford algebra P. Dobrowolski 18 39 0 17 Jun 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.0K 150,312 0 22 Dec 2014