Reinforcement Learning from Passive Data via Latent Intentions

10 April 2023

Papers citing "Reinforcement Learning from Passive Data via Latent Intentions"

37 / 37 papers shown

Title
Offline Action-Free Learning of Ex-BMDPs by Comparing Diverse Datasets Alexander Levine Peter Stone Amy Zhang OffRL 52 0 0 26 Mar 2025
Temporal Difference Flows Jesse Farebrother Matteo Pirotta Andrea Tirinzoni Rémi Munos A. Lazaric Ahmed Touati AI4TS AIFin 50 0 0 12 Mar 2025
Object-Centric Latent Action Learning Albina Klepach Alexander Nikulin Ilya Zisman Denis Tarasov Alexander Derevyagin Andrei Polubarov Nikita Lyubaykin Vladislav Kurenkov 41 0 0 13 Feb 2025
Hierarchical Subspaces of Policies for Continual Offline Reinforcement Learning Anthony Kobanda Rémy Portelas Odalric-Ambrym Maillard Ludovic Denoyer OffRL CLL 77 0 0 19 Dec 2024
Sample-efficient Unsupervised Policy Cloning from Ensemble Self-supervised Labeled Videos Xin Liu Yaran Chen Haoran Li SSL 94 0 0 14 Dec 2024
Non-Adversarial Inverse Reinforcement Learning via Successor Feature Matching A. Jain Harley Wiltzer Jesse Farebrother Irina Rish Glen Berseth Sanjiban Choudhury 41 1 0 11 Nov 2024
Pre-trained Visual Dynamics Representations for Efficient Policy Learning Hao Luo Bohan Zhou Zongqing Lu 30 0 0 05 Nov 2024
OGBench: Benchmarking Offline Goal-Conditioned RL Seohong Park Kevin Frans Benjamin Eysenbach Sergey Levine OffRL 46 8 0 26 Oct 2024
On-Robot Reinforcement Learning with Goal-Contrastive Rewards Ondrej Biza Thomas Weng Lingfeng Sun Karl Schmeckpeper Tarik Kelestemur Yecheng Jason Ma Robert C. Platt Jan Willem van de Meent Lawson L. S. Wong OffRL 43 0 0 25 Oct 2024
Leveraging Skills from Unlabeled Prior Data for Efficient Online Exploration Max Wilcoxson Qiyang Li Kevin Frans Sergey Levine SSL OffRL OnRL 57 0 0 23 Oct 2024
Diffusion Imitation from Observation Bo-Ruei Huang Chun-Kai Yang Chun-Mao Lai Dai-Jie Wu Shao-Hua Sun 36 4 0 07 Oct 2024
Predictive Coding for Decision Transformer T. Luu Donghoon Lee Chang D. Yoo OffRL 51 1 0 04 Oct 2024
Goal-Reaching Policy Learning from Non-Expert Observations via Effective Subgoal Guidance Renming Huang Shaochong Liu Yunqiang Pei Peng Wang Guoqing Wang Yang Yang Hengtao Shen OffRL 32 0 0 06 Sep 2024
Unsupervised-to-Online Reinforcement Learning Junsu Kim Seohong Park Sergey Levine OnRL 48 3 0 27 Aug 2024
NOLO: Navigate Only Look Once Mengyu Bu Shuhao Gu Yang Feng EgoV 36 1 0 02 Aug 2024
Video Occupancy Models Manan Tomar Philippe Hansen-Estruch Philip Bachman Alex Lamb John Langford Matthew E. Taylor Sergey Levine 40 1 0 25 Jun 2024
Learning Temporal Distances: Contrastive Successor Features Can Provide a Metric Structure for Decision-Making Vivek Myers Chongyi Zheng Anca Dragan Sergey Levine Benjamin Eysenbach OffRL 38 7 0 24 Jun 2024
Hybrid Reinforcement Learning from Offline Observation Alone Yuda Song J. Andrew Bagnell Aarti Singh OffRL 74 2 0 11 Jun 2024
Constrained Ensemble Exploration for Unsupervised Skill Discovery Chenjia Bai Rushuai Yang Qiaosheng Zhang Kang Xu Yi Chen Ting Xiao Xuelong Li OffRL 40 3 0 25 May 2024
PEAC: Unsupervised Pre-training for Cross-Embodiment Reinforcement Learning Chengyang Ying Zhongkai Hao Xinning Zhou Xuezhou Xu Hang Su Xingxing Zhang Jun Zhu 27 4 0 23 May 2024
DiffGen: Robot Demonstration Generation via Differentiable Physics Simulation, Differentiable Rendering, and Vision-Language Model Yang Jin Jun Lv Shuqiang Jiang Cewu Lu 35 1 0 12 May 2024
ENOT: Expectile Regularization for Fast and Accurate Training of Neural Optimal Transport N. Buzun Maksim Bobrin Dmitry V. Dylov OT OOD 16 1 0 06 Mar 2024
Foundation Policies with Hilbert Representations Seohong Park Tobias Kreiman Sergey Levine SSL OffRL 42 18 0 23 Feb 2024
Align Your Intents: Offline Imitation Learning via Optimal Transport Maksim Bobrin N. Buzun Dmitrii Krylov Dmitry V. Dylov OffRL 41 3 0 20 Feb 2024
A Distributional Analogue to the Successor Representation Harley Wiltzer Jesse Farebrother Arthur Gretton Yunhao Tang André Barreto Will Dabney Marc G. Bellemare Mark Rowland 36 5 0 13 Feb 2024
Learning to Act without Actions Dominik Schmidt Minqi Jiang OffRL 26 30 0 17 Dec 2023
Multi-agent Reinforcement Learning: A Comprehensive Survey Dom Huh Prasant Mohapatra AI4CE 23 8 0 15 Dec 2023
Accelerating Exploration with Unlabeled Prior Data Qiyang Li Jason Zhang Dibya Ghosh Amy Zhang Sergey Levine OffRL OnRL 18 9 0 09 Nov 2023
Unsupervised Behavior Extraction via Random Intent Priors Haotian Hu Yiqin Yang Jianing Ye Ziqing Mai Chongjie Zhang OffRL 32 6 0 28 Oct 2023
Robotic Offline RL from Internet Videos via Value-Function Pre-Training Chethan Bhateja Derek Guo Dibya Ghosh Anika Singh Manan Tomar Q. Vuong Yevgen Chebotar Sergey Levine Aviral Kumar OffRL 34 20 0 22 Sep 2023
HIQL: Offline Goal-Conditioned RL with Latent States as Actions Seohong Park Dibya Ghosh Benjamin Eysenbach Sergey Levine OffRL 25 44 0 22 Jul 2023
Inverse Dynamics Pretraining Learns Good Representations for Multitask Imitation David Brandfonbrener Ofir Nachum Joan Bruna AI4CE 12 20 0 26 May 2023
Making Offline RL Online: Collaborative World Models for Offline Visual Reinforcement Learning Q. Wang Jun Yang Yunbo Wang Xin Jin Wenjun Zeng Xiaokang Yang OffRL OnRL 27 3 0 24 May 2023
Light-weight probing of unsupervised representations for Reinforcement Learning Wancong Zhang Anthony GX-Chen Vlad Sobal Yann LeCun Nicolas Carion SSL OffRL 33 13 0 25 Aug 2022
Masked World Models for Visual Control Younggyo Seo Danijar Hafner Hao Liu Fangchen Liu Stephen James Kimin Lee Pieter Abbeel OffRL 77 145 0 28 Jun 2022
You Can't Count on Luck: Why Decision Transformers and RvS Fail in Stochastic Environments Keiran Paster Sheila A. McIlraith Jimmy Ba OffRL 151 27 0 31 May 2022
Offline Reinforcement Learning with Implicit Q-Learning Ilya Kostrikov Ashvin Nair Sergey Levine OffRL 212 837 0 12 Oct 2021