OPAL: Offline Primitive Discovery for Accelerating Offline Reinforcement Learning

26 October 2020

Papers citing "OPAL: Offline Primitive Discovery for Accelerating Offline Reinforcement Learning"

27 / 127 papers shown

Title
Bayesian Nonparametrics for Offline Skill Discovery Valentin Villecroze H. Braviner Panteha Naderian Chris J. Maddison G. Loaiza-Ganem BDL OffRL 18 8 0 09 Feb 2022
Priors, Hierarchy, and Information Asymmetry for Skill Transfer in Reinforcement Learning Sasha Salter Kristian Hartikainen Walter Goodwin Ingmar Posner OffRL 28 5 0 20 Jan 2022
Comparing Model-free and Model-based Algorithms for Offline Reinforcement Learning Phillip Swazinna Steffen Udluft D. Hein Thomas Runkler OffRL 24 26 0 14 Jan 2022
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 13 29 0 09 Dec 2021
Measuring Data Quality for Dataset Selection in Offline Reinforcement Learning Phillip Swazinna Steffen Udluft Thomas Runkler OffRL 25 6 0 26 Nov 2021
Accelerating Robotic Reinforcement Learning via Parameterized Action Primitives Murtaza Dalal Deepak Pathak Ruslan Salakhutdinov 32 90 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
Hierarchical Skills for Efficient Exploration Jonas Gehring Gabriel Synnaeve Andreas Krause Nicolas Usunier 28 40 0 20 Oct 2021
Augmenting Reinforcement Learning with Behavior Primitives for Diverse Manipulation Tasks Soroush Nasiriany Huihan Liu Yuke Zhu 82 109 0 07 Oct 2021
Learning Latent Actions without Human Demonstrations Shaunak A. Mehta Sagar Parekh Dylan P. Losey SSL 10 7 0 18 Sep 2021
Collect & Infer -- a fresh look at data-efficient Reinforcement Learning Martin Riedmiller Jost Tobias Springenberg Roland Hafner N. Heess OffRL 26 17 0 23 Aug 2021
HAC Explore: Accelerating Exploration with Hierarchical Reinforcement Learning Willie McClinton Andrew Levy George Konidaris 15 5 0 12 Aug 2021
Skill Preferences: Learning to Extract and Execute Robotic Skills from Human Feedback Xiaofei Wang Kimin Lee Kourosh Hakhamaneshi Pieter Abbeel Michael Laskin 17 42 0 11 Aug 2021
What Matters in Learning from Offline Human Demonstrations for Robot Manipulation Ajay Mandlekar Danfei Xu J. Wong Soroush Nasiriany Chen Wang Rohun Kulkarni Li Fei-Fei Silvio Savarese Yuke Zhu Roberto Martín-Martín OffRL 161 472 0 06 Aug 2021
Demonstration-Guided Reinforcement Learning with Learned Skills Karl Pertsch Youngwoon Lee Yue Wu Joseph J. Lim OffRL 27 82 0 21 Jul 2021
Hierarchical Few-Shot Imitation with Skill Transition Models Kourosh Hakhamaneshi Ruihan Zhao Albert Zhan Pieter Abbeel Michael Laskin OffRL 16 40 0 19 Jul 2021
Offline-to-Online Reinforcement Learning via Balanced Replay and Pessimistic Q-Ensemble Seunghyun Lee Younggyo Seo Kimin Lee Pieter Abbeel Jinwoo Shin OffRL OnRL 16 179 0 01 Jul 2021
Unsupervised Skill Discovery with Bottleneck Option Learning Jaekyeom Kim Seohong Park Gunhee Kim 32 32 0 27 Jun 2021
Decision Transformer: Reinforcement Learning via Sequence Modeling Lili Chen Kevin Lu Aravind Rajeswaran Kimin Lee Aditya Grover Michael Laskin Pieter Abbeel A. Srinivas Igor Mordatch OffRL 32 1,562 0 02 Jun 2021
Learning Neuro-Symbolic Relational Transition Models for Bilevel Planning Rohan Chitnis Tom Silver J. Tenenbaum Tomas Lozano-Perez L. Kaelbling 15 53 0 28 May 2021
Provable Representation Learning for Imitation with Contrastive Fourier Features Ofir Nachum Mengjiao Yang SSL OffRL 22 39 0 26 May 2021
Augmented World Models Facilitate Zero-Shot Dynamics Generalization From a Single Offline Environment Philip J. Ball Cong Lu Jack Parker-Holder Stephen J. Roberts OffRL 21 40 0 12 Apr 2021
S4RL: Surprisingly Simple Self-Supervision for Offline Reinforcement Learning Samarth Sinha Ajay Mandlekar Animesh Garg OffRL 26 104 0 10 Mar 2021
Representation Matters: Offline Pretraining for Sequential Decision Making Mengjiao Yang Ofir Nachum SSL OffRL 18 119 0 11 Feb 2021
EMaQ: Expected-Max Q-Learning Operator for Simple Yet Effective Offline and Online RL Seyed Kamyar Seyed Ghasemipour Dale Schuurmans S. Gu OffRL 209 119 0 21 Jul 2020
Learning Transferable Concepts in Deep Reinforcement Learning Diego Gomez Nicanor Quijano Luis Felipe Giraldo CLL SSL 8 0 0 16 May 2020
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 340 1,960 0 04 May 2020