How to Solve Contextual Goal-Oriented Problems with Offline Datasets?

14 August 2024

Papers citing "How to Solve Contextual Goal-Oriented Problems with Offline Datasets?"

39 / 39 papers shown

Title
Sharing Knowledge in Multi-Task Deep Reinforcement Learning Carlo DÉramo Davide Tateo Andrea Bonarini Marcello Restelli Jan Peters 166 130 0 17 Jan 2024
BridgeData V2: A Dataset for Robot Learning at Scale Homer Walke Kevin Black Abraham Lee Moo Jin Kim Maximilian Du ... Andre Wang He Vivek Myers Kuan Fang Chelsea Finn Sergey Levine 72 230 0 24 Aug 2023
What is Essential for Unseen Goal Generalization of Offline Goal-conditioned RL? Rui Yang Yong Lin Xiaoteng Ma Haotian Hu Chongjie Zhang Tong Zhang OffRL 58 26 0 30 May 2023
MAHALO: Unifying Offline Reinforcement Learning and Imitation Learning from Observations Anqi Li Byron Boots Ching-An Cheng OffRL 78 16 0 30 Mar 2023
Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting Benjamin Wilson William Qi Tanmay Agarwal John Lambert Jagjeet Singh ... Andrew Hartnett J. K. Pontes Deva Ramanan Peter Carr James Hays 3DPC AI4TS 87 636 0 02 Jan 2023
Using Both Demonstrations and Language Instructions to Efficiently Learn Robotic Tasks Albert Yu Raymond J. Mooney LM&Ro 49 20 0 10 Oct 2022
Classifier-Free Diffusion Guidance Jonathan Ho Tim Salimans FaML 188 3,885 0 26 Jul 2022
How Far I'll Go: Offline Goal-Conditioned Reinforcement Learning via $f$ -Advantage Regression Yecheng Jason Ma Jason Yan Dinesh Jayaraman Osbert Bastani OffRL 60 57 0 07 Jun 2022
Adversarially Trained Actor Critic for Offline Reinforcement Learning Ching-An Cheng Tengyang Xie Nan Jiang Alekh Agarwal OffRL 67 130 0 05 Feb 2022
How to Leverage Unlabeled Data in Offline Reinforcement Learning Tianhe Yu Aviral Kumar Yevgen Chebotar Karol Hausman Chelsea Finn Sergey Levine OffRL 79 64 0 03 Feb 2022
Learning Domain Invariant Representations in Goal-conditioned Block MDPs Beining Han Chongyi Zheng Harris Chan Keiran Paster Michael Ruogu Zhang Jimmy Ba OOD AI4CE 52 14 0 27 Oct 2021
No RL, No Simulation: Learning to Navigate without Navigating Meera Hahn Devendra Singh Chaplot Shubham Tulsiani Mustafa Mukadam James M. Rehg Abhinav Gupta 114 73 0 18 Oct 2021
Offline Reinforcement Learning with Implicit Q-Learning Ilya Kostrikov Ashvin Nair Sergey Levine OffRL 286 903 0 12 Oct 2021
Conservative Data Sharing for Multi-Task Offline Reinforcement Learning Tianhe Yu Aviral Kumar Yevgen Chebotar Karol Hausman Sergey Levine Chelsea Finn OffRL 72 77 0 16 Sep 2021
Bellman-consistent Pessimism for Offline Reinforcement Learning Tengyang Xie Ching-An Cheng Nan Jiang Paul Mineiro Alekh Agarwal OffRL LRM 145 276 0 13 Jun 2021
A Minimalist Approach to Offline Reinforcement Learning Scott Fujimoto S. Gu OffRL 122 819 0 12 Jun 2021
MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale Dmitry Kalashnikov Jacob Varley Yevgen Chebotar Benjamin Swanson Rico Jonschkowski Chelsea Finn Sergey Levine Karol Hausman OffRL 95 277 0 16 Apr 2021
Actionable Models: Unsupervised Offline Reinforcement Learning of Robotic Skills Yevgen Chebotar Karol Hausman Yao Lu Ted Xiao Dmitry Kalashnikov ... A. Irpan Benjamin Eysenbach Ryan Julian Chelsea Finn Sergey Levine SSL OffRL 62 152 0 15 Apr 2021
Multi-Task Reinforcement Learning with Context-based Representations Shagun Sodhani Amy Zhang Joelle Pineau 72 190 0 11 Feb 2021
Is Pessimism Provably Efficient for Offline RL? Ying Jin Zhuoran Yang Zhaoran Wang OffRL 162 358 0 30 Dec 2020
COG: Connecting New Skills to Past Experience with Offline Reinforcement Learning Avi Singh Albert Yu Jonathan Yang Jesse Zhang Aviral Kumar Sergey Levine SSL OffRL OnRL 65 103 0 27 Oct 2020
Transfer Learning in Deep Reinforcement Learning: A Survey Zhuangdi Zhu Kaixiang Lin Anil K. Jain Jiayu Zhou OffRL LRM 107 589 0 16 Sep 2020
Conservative Q-Learning for Offline Reinforcement Learning Aviral Kumar Aurick Zhou George Tucker Sergey Levine OffRL OnRL 134 1,812 0 08 Jun 2020
MOPO: Model-based Offline Policy Optimization Tianhe Yu G. Thomas Lantao Yu Stefano Ermon James Zou Sergey Levine Chelsea Finn Tengyu Ma OffRL 74 768 0 27 May 2020
D4RL: Datasets for Deep Data-Driven Reinforcement Learning Justin Fu Aviral Kumar Ofir Nachum George Tucker Sergey Levine GP OffRL 218 1,366 0 15 Apr 2020
Generalized Hindsight for Reinforcement Learning Alexander C. Li Lerrel Pinto Pieter Abbeel 46 70 0 26 Feb 2020
Scalability in Perception for Autonomous Driving: Waymo Open Dataset Pei Sun Henrik Kretzschmar Xerxes Dotiwalla Aurelien Chouard Vijaysai Patnaik ... Shuyang Cheng Yu Zhang Jonathon Shlens Zhifeng Chen Dragomir Anguelov 119 2,877 0 10 Dec 2019
Behavior Regularized Offline Reinforcement Learning Yifan Wu George Tucker Ofir Nachum OffRL 89 685 0 26 Nov 2019
Contextual Imagined Goals for Self-Supervised Robotic Learning Ashvin Nair Shikhar Bahl Alexander Khazatsky Vitchyr H. Pong Glen Berseth Sergey Levine SSL 67 68 0 23 Oct 2019
Hierarchical Foresight: Self-Supervised Learning of Long-Horizon Tasks via Visual Subgoal Generation Suraj Nair Chelsea Finn VGen 73 138 0 12 Sep 2019
Learning Latent Plans from Play Corey Lynch Mohi Khansari Ted Xiao Vikash Kumar Jonathan Tompson Sergey Levine P. Sermanet SSL LM&Ro 86 404 0 05 Mar 2019
Off-Policy Deep Reinforcement Learning without Exploration Scott Fujimoto David Meger Doina Precup OffRL BDL 223 1,608 0 07 Dec 2018
Multi-task Deep Reinforcement Learning with PopArt Matteo Hessel Hubert Soyer L. Espeholt Wojciech M. Czarnecki Simon Schmitt H. V. Hasselt 124 318 0 12 Sep 2018
Visual Reinforcement Learning with Imagined Goals Ashvin Nair Vitchyr H. Pong Murtaza Dalal Shikhar Bahl Steven Lin Sergey Levine SSL 75 543 0 12 Jul 2018
Learning to Navigate in Cities Without a Map Piotr Wojciech Mirowski Matthew Koichi Grimes Mateusz Malinowski Karl Moritz Hermann Keith Anderson Denis Teplyashin Karen Simonyan Koray Kavukcuoglu Andrew Zisserman R. Hadsell SSL HAI 84 318 0 31 Mar 2018
Distral: Robust Multitask Reinforcement Learning Yee Whye Teh V. Bapst Wojciech M. Czarnecki John Quan J. Kirkpatrick R. Hadsell N. Heess Razvan Pascanu 161 553 0 13 Jul 2017
Hindsight Experience Replay Marcin Andrychowicz Dwight Crow Alex Ray Jonas Schneider Rachel Fong Peter Welinder Bob McGrew Joshua Tobin Pieter Abbeel Wojciech Zaremba OffRL 248 2,326 0 05 Jul 2017
Successor Features for Transfer in Reinforcement Learning André Barreto Will Dabney Rémi Munos Jonathan J. Hunt Tom Schaul H. V. Hasselt David Silver 45 575 0 16 Jun 2016
Contextual Markov Decision Processes Assaf Hallak Dotan Di Castro Shie Mannor 89 247 0 08 Feb 2015