Data-Efficient Hierarchical Reinforcement Learning

21 May 2018

Papers citing "Data-Efficient Hierarchical Reinforcement Learning"

47 / 447 papers shown

Title
A survey on intrinsic motivation in reinforcement learning A. Aubret L. Matignon S. Hassas AI4CE 26 143 0 19 Aug 2019
Mapping State Space using Landmarks for Universal Goal Reaching Zhiao Huang Fangchen Liu Hao Su 30 67 0 15 Aug 2019
Skill Transfer in Deep Reinforcement Learning under Morphological Heterogeneity Yang Hu Giovanni Montana 17 5 0 14 Aug 2019
Multi-Agent Manipulation via Locomotion using Hierarchical Sim2Real Ofir Nachum Michael Ahn Hugo Ponte S. Gu Vikash Kumar 35 89 0 13 Aug 2019
Learning to combine primitive skills: A step towards versatile robotic manipulation Robin Strudel Alexander Pashevich Igor Kalevatykh Ivan Laptev Josef Sivic Cordelia Schmid 21 4 0 02 Aug 2019
Hindsight Trust Region Policy Optimization Hanbo Zhang Site Bai Xuguang Lan David Hsu Nanning Zheng 38 8 0 29 Jul 2019
Learning to Solve a Rubik's Cube with a Dexterous Hand Tingguang Li Weitao Xi Meng Fang Jia Xu Max Q.-H. Meng 16 11 0 26 Jul 2019
A Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms Oliver Kroemer S. Niekum George Konidaris 38 356 0 06 Jul 2019
Dynamics-Aware Unsupervised Discovery of Skills Archit Sharma S. Gu Sergey Levine Vikash Kumar Karol Hausman 42 399 0 02 Jul 2019
Learning World Graphs to Accelerate Hierarchical Reinforcement Learning Wenling Shang Alexander R. Trott Stephan Zheng Caiming Xiong R. Socher 38 18 0 01 Jul 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
Neural networks with motivation Sergey A. Shuvaev Ngoc B. Tran Marcus Stephenson-Jones Bo-wen Li A. Koulakov 14 8 0 23 Jun 2019
Disentangled Skill Embeddings for Reinforcement Learning Janith C. Petangoda Sergio Pascual-Diaz Vincent Adam Peter Vrancx Jordi Grau-Moya DRL OffRL 23 15 0 21 Jun 2019
Directed Exploration for Reinforcement Learning Z. Guo Emma Brunskill 24 11 0 18 Jun 2019
Language as an Abstraction for Hierarchical Deep Reinforcement Learning Yiding Jiang S. Gu Kevin Patrick Murphy Chelsea Finn OffRL 20 223 0 18 Jun 2019
Sub-policy Adaptation for Hierarchical Reinforcement Learning Alexander C. Li Carlos Florensa I. Clavera Pieter Abbeel 29 71 0 13 Jun 2019
Search on the Replay Buffer: Bridging Planning and Reinforcement Learning Benjamin Eysenbach Ruslan Salakhutdinov Sergey Levine OffRL 32 286 0 12 Jun 2019
Exploration via Hindsight Goal Generation Zhizhou Ren Kefan Dong Yuanshuo Zhou Qiang Liu Jian-wei Peng 35 85 0 10 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
CoRide: Joint Order Dispatching and Fleet Management for Multi-Scale Ride-Hailing Platforms Jiarui Jin M. Zhou Weinan Zhang Minne Li Zilong Guo ... Xiaocheng Tang Chenxi Wang Jun Wang Guobin Wu Jieping Ye 16 97 0 27 May 2019
Learning to Detect and Retrieve Objects from Unlabeled Videos Elad Amrani Rami Ben-Ari Tal Hakim A. Bronstein SSL 30 4 0 27 May 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 22 30 0 25 May 2019
From semantics to execution: Integrating action planning with reinforcement learning for robotic causal problem-solving Manfred Eppe Phuong D. H. Nguyen S. Wermter 25 41 0 23 May 2019
Hierarchical Reinforcement Learning for Quadruped Locomotion Deepali Jain Atil Iscen Ken Caluwaerts 30 53 0 22 May 2019
Learning and Exploiting Multiple Subgoals for Fast Exploration in Hierarchical Reinforcement Learning Libo Xing 16 4 0 13 May 2019
Hierarchical Policy Learning is Sensitive to Goal Space Design Zach Dwiel Madhavun Candadai Mariano Phielipp Arjun K. Bansal 27 15 0 04 May 2019
DAC: The Double Actor-Critic Architecture for Learning Options Shangtong Zhang Shimon Whiteson 30 72 0 29 Apr 2019
Dot-to-Dot: Explainable Hierarchical Reinforcement Learning for Robotic Manipulation Benjamin Beyret A. Shafti A. Faisal 33 73 0 14 Apr 2019
Multitask Soft Option Learning Maximilian Igl Andrew Gambardella Jinke He Nantas Nardelli N. Siddharth Wendelin Bohmer Shimon Whiteson 22 26 0 01 Apr 2019
Deep Hierarchical Reinforcement Learning Based Recommendations via Multi-goals Abstraction Dongyan Zhao Liang Zhang Bo Zhang Lizhou Zheng Yongjun Bao Weipeng P. Yan 22 3 0 22 Mar 2019
Prospection: Interpretable Plans From Language By Predicting the Future Chris Paxton Yonatan Bisk Jesse Thomason Arunkumar Byravan Dieter Fox LM&Ro 26 47 0 20 Mar 2019
Skew-Fit: State-Covering Self-Supervised Reinforcement Learning Vitchyr H. Pong Murtaza Dalal Steven Lin Ashvin Nair Shikhar Bahl Sergey Levine OffRL SSL 36 269 0 08 Mar 2019
Learning Hierarchical Teaching Policies for Cooperative Agents Dong-Ki Kim Miao Liu Shayegan Omidshafiei Sebastian Lopez-Cot Matthew D Riemer Golnaz Habibi Gerald Tesauro Sami Mourad Murray Campbell Jonathan P. How 6 7 0 07 Mar 2019
AutoQ: Automated Kernel-Wise Neural Network Quantization Qian Lou Feng Guo Lantao Liu Minje Kim Lei Jiang MQ 27 97 0 15 Feb 2019
Reinforcement Learning from Hierarchical Critics Zehong Cao Chin-Teng Lin 25 11 0 08 Feb 2019
Modulated Policy Hierarchies Alexander Pashevich Danijar Hafner James Davidson Rahul Sukthankar Cordelia Schmid 24 6 0 30 Nov 2018
Hierarchical Policy Design for Sample-Efficient Learning of Robot Table Tennis Through Self-Play R. Mahjourian Navdeep Jaitly N. Lazić Sergey Levine Risto Miikkulainen 16 16 0 30 Nov 2018
Unsupervised Control Through Non-Parametric Discriminative Rewards David Warde-Farley T. Wiele Tejas D. Kulkarni Catalin Ionescu Steven Hansen Volodymyr Mnih DRL OffRL SSL 41 173 0 28 Nov 2018
Learning Actionable Representations with Goal-Conditioned Policies Dibya Ghosh Abhishek Gupta Sergey Levine 32 109 0 19 Nov 2018
Deep Reinforcement Learning Yuxi Li VLM OffRL 28 144 0 15 Oct 2018
CURIOUS: Intrinsically Motivated Modular Multi-Goal Reinforcement Learning Cédric Colas Pierre Fournier Olivier Sigaud Mohamed Chetouani Pierre-Yves Oudeyer 33 39 0 15 Oct 2018
The Laplacian in RL: Learning Representations with Efficient Approximations Yifan Wu George Tucker Ofir Nachum OffRL 21 83 0 10 Oct 2018
Near-Optimal Representation Learning for Hierarchical Reinforcement Learning Ofir Nachum S. Gu Honglak Lee Sergey Levine 30 206 0 02 Oct 2018
Automata Guided Reinforcement Learning With Demonstrations Xiao Li Yao Ma C. Belta OffRL 24 11 0 17 Sep 2018
A New Framework for Machine Intelligence: Concepts and Prototype Abel Torres Montoya 35 0 0 06 Jun 2018
Policy Search in Continuous Action Domains: an Overview Olivier Sigaud F. Stulp 16 72 0 13 Mar 2018
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 143 928 0 07 Jul 2017