Title
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Learning a Universal Human Prior for Dexterous Manipulation from Human Preference Zihan Ding Yuanpei Chen Allen Z. Ren S. Gu Qianxu Wang Hao Dong Chi Jin 176 10 0 10 Apr 2023
Towards Multi-User Activity Recognition through Facilitated Training Data and Deep Learning for Human-Robot Collaboration ApplicationsIEEE International Joint Conference on Neural Network (IJCNN), 2023 F. Semeraro Jonathan Carberry Angelo Cangelosi HAI 169 5 0 11 Feb 2023
Policy Expansion for Bridging Offline-to-Online Reinforcement LearningInternational Conference on Learning Representations (ICLR), 2023 Haichao Zhang Weiwen Xu Haonan Yu OffRL OnRL CLL 432 90 0 02 Feb 2023
Offline Reinforcement Learning with Closed-Form Policy Improvement OperatorsInternational Conference on Machine Learning (ICML), 2022 Jiachen Li Edwin Zhang Ming Yin Qinxun Bai Yu Wang William Yang Wang OffRL 173 18 0 29 Nov 2022
Dungeons and Data: A Large-Scale NetHack DatasetNeural Information Processing Systems (NeurIPS), 2022 Eric Hambro Roberta Raileanu Dan Rothermel Vegard Mella Tim Rocktaschel Heinrich Küttler Naila Murray OffRL 496 21 0 01 Nov 2022
The Challenges of Exploration for Offline Reinforcement Learning Nathan Lambert Markus Wulfmeier William F. Whitney Arunkumar Byravan Michael Bloesch Vibhavari Dasagi Tim Hertweck Martin Riedmiller OffRL 178 32 0 27 Jan 2022
Beyond Pick-and-Place: Tackling Robotic Stacking of Diverse ShapesConference on Robot Learning (CoRL), 2021 Alex X. Lee Coline Devin Yuxiang Zhou Thomas Lampe Konstantinos Bousmalis ... Stefano Saliceti Federico Casarini Martin Riedmiller R. Hadsell F. Nori OffRL 241 113 0 12 Oct 2021
A Workflow for Offline Model-Free Robotic Reinforcement LearningConference on Robot Learning (CoRL), 2021 Aviral Kumar Anika Singh Stephen Tian Chelsea Finn Sergey Levine OffRL 281 90 0 22 Sep 2021
S4RL: Surprisingly Simple Self-Supervision for Offline Reinforcement LearningConference on Robot Learning (CoRL), 2021 Samarth Sinha Ajay Mandlekar Animesh Garg OffRL 183 120 0 10 Mar 2021
How to Train Your Robot with Deep Reinforcement Learning; Lessons We've Learned Julian Ibarz Jie Tan Chelsea Finn Mrinal Kalakrishnan P. Pastor Sergey Levine OffRL 261 611 0 04 Feb 2021
DERAIL: Diagnostic Environments for Reward And Imitation Learning Pedro Freire Adam Gleave Sam Toyer Stuart J. Russell OffRL 160 6 0 02 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 238 108 0 27 Oct 2020
Hyperparameter Selection for Offline Reinforcement Learning T. Paine Cosmin Paduraru Andrea Michi Çağlar Gülçehre Konrad Zolna Alexander Novikov Ziyun Wang Nando de Freitas GP OffRL 307 152 0 17 Jul 2020
Representations for Stable Off-Policy Reinforcement LearningInternational Conference on Machine Learning (ICML), 2020 Dibya Ghosh Marc G. Bellemare OffRL SSL OOD 195 45 0 10 Jul 2020
Fighting Failures with FIRE: Failure Identification to Reduce Expert Burden in Intervention-Based Learning Trevor Ablett Filip Marić Jonathan Kelly OffRL 183 7 0 01 Jul 2020
D4RL: Datasets for Deep Data-Driven Reinforcement Learning Justin Fu Aviral Kumar Ofir Nachum George Tucker Sergey Levine GP OffRL 656 1,583 0 15 Apr 2020
Positive-Unlabeled Reward LearningConference on Robot Learning (CoRL), 2019 Danfei Xu Misha Denil 212 43 0 01 Nov 2019