Data-Efficient Hierarchical Reinforcement Learning

21 May 2018

Papers citing "Data-Efficient Hierarchical Reinforcement Learning"

50 / 447 papers shown

Title
Value Memory Graph: A Graph-Structured World Model for Offline Reinforcement Learning Deyao Zhu Erran L. Li Mohamed Elhoseiny OffRL 40 8 0 09 Jun 2022
Deep Hierarchical Planning from Pixels Danijar Hafner Kuang-Huei Lee Ian S. Fischer Pieter Abbeel 42 93 0 08 Jun 2022
Meta-Learning Parameterized Skills Haotian Fu Shangqun Yu Saket Tiwari Michael Littman George Konidaris 38 6 0 07 Jun 2022
Challenges to Solving Combinatorially Hard Long-Horizon Deep RL Tasks Andrew C. Li Pashootan Vaezipoor Rodrigo Toro Icarte Sheila A. McIlraith OffRL LRM 24 4 0 03 Jun 2022
Human-AI Shared Control via Policy Dissection Quanyi Li Zhenghao Peng Haibin Wu Lan Feng Bolei Zhou 18 13 0 31 May 2022
Non-Markovian policies occupancy measures Romain Laroche Rémi Tachet des Combes Jacob Buckman OffRL 37 1 0 27 May 2022
SFP: State-free Priors for Exploration in Off-Policy Reinforcement Learning Marco Bagatella Sammy Christen Otmar Hilliges OffRL 29 5 0 26 May 2022
Toward Discovering Options that Achieve Faster Planning Yi Wan R. Sutton 6 5 0 25 May 2022
Hierarchical Planning Through Goal-Conditioned Offline Reinforcement Learning Jinning Li Chen Tang Masayoshi Tomizuka Wei Zhan OffRL 59 57 0 24 May 2022
Coordinating Policies Among Multiple Agents via an Intelligent Communication Channel Dianbo Liu Vedant Shah Oussama Boussif Cristian Meo Anirudh Goyal Tianmin Shu Michael C. Mozer N. Heess Yoshua Bengio 27 0 0 21 May 2022
A Fully Controllable Agent in the Path Planning using Goal-Conditioned Reinforcement Learning G. Lee 35 0 0 20 May 2022
Generalizing to New Tasks via One-Shot Compositional Subgoals Xihan Bian Oscar Alejandro Mendez Maldonado Simon Hadfield CLL OffRL 32 1 0 16 May 2022
Developing cooperative policies for multi-stage reinforcement learning tasks J. Erskine Christopher F. Lehnert 14 10 0 11 May 2022
KEMP: Keyframe-Based Hierarchical End-to-End Deep Model for Long-Term Trajectory Prediction Qiujing Lu Weiqiao Han Jeffrey Ling Minfa Wang Haoyu Chen Balakrishnan Varadarajan Paul Covington 16 13 0 10 May 2022
Data-driven control of spatiotemporal chaos with reduced-order neural ODE-based models and reinforcement learning Kevin Zeng Alec J. Linot M. Graham AI4CE 22 28 0 01 May 2022
Bisimulation Makes Analogies in Goal-Conditioned Reinforcement Learning Philippe Hansen-Estruch Amy Zhang Ashvin Nair Patrick Yin Sergey Levine AI4CE 31 28 0 27 Apr 2022
Safer Autonomous Driving in a Stochastic, Partially-Observable Environment by Hierarchical Contingency Planning Ugo Lecerf Christelle Yemdji Tchassi Pietro Michiardi 30 1 0 13 Apr 2022
Reinforcement learning on graphs: A survey Mingshuo Nie Dongming Chen Dongqi Wang 49 45 0 13 Apr 2022
Hierarchical Quality-Diversity for Online Damage Recovery Maxime Allard Simón C. Smith Konstantinos Chatzilygeroudis Antoine Cully 25 12 0 12 Apr 2022
Learning Design and Construction with Varying-Sized Materials via Prioritized Memory Resets Yunfei Li Tao Kong Lei Li Yi Wu 53 4 0 12 Apr 2022
Hierarchical Reinforcement Learning under Mixed Observability Hai V. Nguyen Zhihan Yang Andrea Baisero Xiao Ma Robert W. Platt Chris Amato 37 4 0 02 Apr 2022
Demonstration-Bootstrapped Autonomous Practicing via Multi-Task Reinforcement Learning Abhishek Gupta Corey Lynch Brandon Kinman Garrett Peake Sergey Levine Karol Hausman OffRL 19 17 0 29 Mar 2022
Policy Architectures for Compositional Generalization in Control Allan Zhou Vikash Kumar Chelsea Finn Aravind Rajeswaran 26 22 0 10 Mar 2022
SAGE: Generating Symbolic Goals for Myopic Models in Deep Reinforcement Learning A. Chester Michael Dann Fabio Zambetta John Thangarajah 11 0 0 09 Mar 2022
Learning Sensorimotor Primitives of Sequential Manipulation Tasks from Visual Demonstrations Junchi Liang Bowen Wen Kostas Bekris Abdeslam Boularias SSL 18 12 0 08 Mar 2022
On Credit Assignment in Hierarchical Reinforcement Learning Joery A. de Vries Thomas M. Moerland Aske Plaat 16 0 0 07 Mar 2022
Hierarchically Structured Scheduling and Execution of Tasks in a Multi-Agent Environment Diogo S. Carvalho B. Sengupta 33 2 0 06 Mar 2022
A Versatile Agent for Fast Learning from Human Instructors Yiwen Chen Zedong Zhang Hao-Kang Liu Jiayi Tan C. Chew Marcelo H. Ang Jr 12 0 0 01 Mar 2022
LISA: Learning Interpretable Skill Abstractions from Language Divyansh Garg Skanda Vaidyanath Kuno Kim Jiaming Song Stefano Ermon LM&Ro OffRL 156 29 0 28 Feb 2022
SAFER: Data-Efficient and Safe Reinforcement Learning via Skill Acquisition Dylan Slack Yinlam Chow Bo Dai Nevan Wichers OffRL 35 7 0 10 Feb 2022
Soft Actor-Critic with Inhibitory Networks for Faster Retraining J. Ide Daria Mićović Michael J. Guarino K. Alcedo D. Rosenbluth Adrian P. Pope 13 3 0 07 Feb 2022
ASHA: Assistive Teleoperation via Human-in-the-Loop Reinforcement Learning S. Chen Jensen Gao S. Reddy Glen Berseth Anca Dragan Sergey Levine OffRL 36 11 0 05 Feb 2022
Learning Interpretable, High-Performing Policies for Autonomous Driving Rohan R. Paleja Yaru Niu Andrew Silva Chace Ritchie Sugju Choi Matthew C. Gombolay 27 16 0 04 Feb 2022
The Paradox of Choice: Using Attention in Hierarchical Reinforcement Learning A. Nica Khimya Khetarpal Doina Precup 26 4 0 24 Jan 2022
Learning Two-Step Hybrid Policy for Graph-Based Interpretable Reinforcement Learning Tongzhou Mu Kaixiang Lin Fei Niu Govind Thattai OffRL 25 0 0 21 Jan 2022
Priors, Hierarchy, and Information Asymmetry for Skill Transfer in Reinforcement Learning Sasha Salter Kristian Hartikainen Walter Goodwin Ingmar Posner OffRL 30 5 0 20 Jan 2022
Learning from Guided Play: A Scheduled Hierarchical Approach for Improving Exploration in Adversarial Imitation Learning Trevor Ablett Bryan Chan Jonathan Kelly 34 4 0 16 Dec 2021
Learning to Guide and to Be Guided in the Architect-Builder Problem Paul Barde Tristan Karch Derek Nowrouzezahrai Clément Moulin-Frier C. Pal Pierre-Yves Oudeyer 41 4 0 14 Dec 2021
Learning Transferable Motor Skills with Hierarchical Latent Mixture Policies Dushyant Rao Fereshteh Sadeghi Leonard Hasenclever Markus Wulfmeier Martina Zambelli ... Dhruva Tirumala Y. Aytar J. Merel N. Heess R. Hadsell 26 28 0 09 Dec 2021
Guided Imitation of Task and Motion Planning M. McDonald Dylan Hadfield-Menell 79 20 0 06 Dec 2021
Hierarchical Reinforcement Learning with Timed Subgoals Nico Gürtler Le Chen Georg Martius 56 22 0 06 Dec 2021
Flexible Option Learning Martin Klissarov Doina Precup OffRL 41 26 0 06 Dec 2021
SelectAugment: Hierarchical Deterministic Sample Selection for Data Augmentation Shiqi Lin Zhizheng Zhang Xin Li Wenjun Zeng Zhibo Chen 41 9 0 06 Dec 2021
Generalized Decision Transformer for Offline Hindsight Information Matching Hiroki Furuta Y. Matsuo S. Gu OffRL 21 99 0 19 Nov 2021
Adversarial Skill Chaining for Long-Horizon Robot Manipulation via Terminal State Regularization Youngwoon Lee Joseph J. Lim Anima Anandkumar Yuke Zhu OffRL 31 40 0 15 Nov 2021
Spatially and Seamlessly Hierarchical Reinforcement Learning for State Space and Policy space in Autonomous Driving Jaehyung Kim Jaeseung Jeong 14 0 0 10 Nov 2021
Adjacency constraint for efficient hierarchical reinforcement learning Tianren Zhang Shangqi Guo Tian Tan Xiao M Hu Feng Chen 31 17 0 30 Oct 2021
Accelerating Robotic Reinforcement Learning via Parameterized Action Primitives Murtaza Dalal Deepak Pathak Ruslan Salakhutdinov 40 90 0 28 Oct 2021
From Machine Learning to Robotics: Challenges and Opportunities for Embodied Intelligence Nicholas Roy Ingmar Posner T. Barfoot Philippe Beaudoin Yoshua Bengio ... S. Schaal Gaurav Sukhatme D. Thérien Marc Toussaint M. van de Panne 33 54 0 28 Oct 2021
TRAIL: Near-Optimal Imitation Learning with Suboptimal Data Mengjiao Yang Sergey Levine Ofir Nachum OffRL 41 42 0 27 Oct 2021