Title
Integrating Learning-Based Manipulation and Physics-Based Locomotion for Whole-Body Badminton Robot Control Haoran Wang Zhiwei Shi Chengxi Zhu Yafei Qiao Cheng Zhang Fan Yang Pengjie Ren Lan Lu D. Xuan 64 1 0 24 Apr 2025
Dexterous Hand Manipulation via Efficient Imitation-Bootstrapped Online Reinforcement Learning Dongchi Huang Tianle Zhang Yihang Li Ling Zhao Jiayi Li Zhirui Fang Chunhe Xia Lusong Li Xiaodong He OffRL 43 0 0 06 Mar 2025
Marvel: Accelerating Safe Online Reinforcement Learning with Finetuned Offline Policy Keru Chen Honghao Wei Zhigang Deng Sen Lin OffRL OnRL 94 0 0 31 Dec 2024
FLaRe: Achieving Masterful and Adaptive Robot Policies with Large-Scale Reinforcement Learning Fine-Tuning Jiaheng Hu Rose Hendrix Ali Farhadi Aniruddha Kembhavi Roberto Martín-Martín Peter Stone Kuo-Hao Zeng Kiana Ehsani 40 7 0 25 Sep 2024
Representing Positional Information in Generative World Models for Object Manipulation Stefano Ferraro Pietro Mazzaglia Tim Verbelen Bart Dhoedt Sai Rajeswar LM&Ro OCL 43 0 0 18 Sep 2024
Autonomous Improvement of Instruction Following Skills via Foundation Models Zhiyuan Zhou P. Atreya Abraham Lee Homer Walke Oier Mees Sergey Levine 32 11 0 30 Jul 2024
From Imitation to Refinement -- Residual RL for Precise Visual Assembly Lars Ankile Anthony Simeonov Idan Shenfeld M. Torné Pulkit Agrawal OffRL 36 7 0 23 Jul 2024
Rocket Landing Control with Random Annealing Jump Start Reinforcement Learning Yuxuan Jiang Yujie Yang Zhiqian Lan Guojian Zhan Shengbo Eben Li Qi Sun Jian Ma Tianwen Yu Changwu Zhang 33 1 0 21 Jul 2024
BiGym: A Demo-Driven Mobile Bi-Manual Manipulation Benchmark Nikita Chernyadev Nicholas Backshall Xiao Ma Yunfan Lu Younggyo Seo Stephen James 22 11 0 10 Jul 2024
Multi-Agent Transfer Learning via Temporal Contrastive Learning Weihao Zeng Joseph Campbell Simon Stepputtis Katia P. Sycara OffRL 49 2 0 03 Jun 2024
OpenBot-Fleet: A System for Collective Learning with Real Robots Matthias M¨uller Samarth Brahmbhatt Ankur Deka Quentin Leboutet David Hafner V. Koltun 37 0 0 13 May 2024
Information-driven Affordance Discovery for Efficient Robotic Manipulation Pietro Mazzaglia Taco Cohen Daniel Dijkman 40 2 0 06 May 2024
Demonstration Guided Multi-Objective Reinforcement Learning Junlin Lu Patrick Mannion Karl Mason 27 0 0 05 Apr 2024
Simple Ingredients for Offline Reinforcement Learning Edoardo Cetin Andrea Tirinzoni Matteo Pirotta A. Lazaric Yann Ollivier Ahmed Touati OffRL 40 2 0 19 Mar 2024
Snapshot Reinforcement Learning: Leveraging Prior Trajectories for Efficiency Yanxiao Zhao Yangge Qian Tianyi Wang Jingyang Shan Xiaolin Qin 21 0 0 01 Mar 2024
Learning Realistic Traffic Agents in Closed-loop Chris Zhang James Tu Lunjun Zhang Kelvin Wong Simon Suo R. Urtasun 31 18 0 02 Nov 2023
TAIL: Task-specific Adapters for Imitation Learning with Large Pretrained Models Zuxin Liu Jesse Zhang Kavosh Asadi Yao Liu Ding Zhao Shoham Sabach Rasool Fakoor ALM AI4CE 23 25 0 09 Oct 2023
Q-Transformer: Scalable Offline Reinforcement Learning via Autoregressive Q-Functions Yevgen Chebotar Q. Vuong A. Irpan Karol Hausman F. Xia ... Brianna Zitkovich Tomas Jackson Kanishka Rao Chelsea Finn Sergey Levine OffRL 131 81 0 18 Sep 2023
FOCUS: Object-Centric World Models for Robotics Manipulation Stefano Ferraro Pietro Mazzaglia Tim Verbelen Bart Dhoedt OCL LM&Ro 40 13 0 05 Jul 2023
Improving Offline-to-Online Reinforcement Learning with Q-Ensembles Kai-Wen Zhao Yi Ma Jianye Hao Jinyi Liu Yan Zheng Zhaopeng Meng OffRL OnRL 20 12 0 12 Jun 2023
Learning Video-Conditioned Policies for Unseen Manipulation Tasks Elliot Chane-Sane Cordelia Schmid Ivan Laptev 27 18 0 10 May 2023
Deep RL at Scale: Sorting Waste in Office Buildings with a Fleet of Mobile Manipulators Alexander Herzog Kanishka Rao Karol Hausman Yao Lu Paul Wohlhart ... Noah Brown Mrinal Kalakrishnan Julian Ibarz P. Pastor Sergey Levine OffRL 38 23 0 05 May 2023
Using Offline Data to Speed-up Reinforcement Learning in Procedurally Generated Environments Alain Andres Lukas Schafer Esther Villar-Rodriguez Stefano V. Albrecht Javier Del Ser OffRL OnRL 31 2 0 18 Apr 2023
Finetuning from Offline Reinforcement Learning: Challenges, Trade-offs and Practical Solutions Yicheng Luo Jackie Kay Edward Grefenstette M. Deisenroth OffRL OnRL 13 15 0 30 Mar 2023
Boosting Reinforcement Learning and Planning with Demonstrations: A Survey Tongzhou Mu H. Su OffRL 35 1 0 23 Mar 2023
Efficient Online Reinforcement Learning with Offline Data Philip J. Ball Laura M. Smith Ilya Kostrikov Sergey Levine OffRL OnRL 32 163 0 06 Feb 2023
Grounding Large Language Models in Interactive Environments with Online Reinforcement Learning Thomas Carta Clément Romac Thomas Wolf Sylvain Lamprier Olivier Sigaud Pierre-Yves Oudeyer LM&Ro LLMAG 22 182 0 06 Feb 2023
Accelerating Policy Gradient by Estimating Value Function from Prior Computation in Deep Reinforcement Learning Hassam Sheikh Mariano Phielipp OffRL 16 6 0 02 Feb 2023
PIRLNav: Pretraining with Imitation and RL Finetuning for ObjectNav Ram Ramrakhya Dhruv Batra Erik Wijmans Abhishek Das OffRL 23 53 0 18 Jan 2023
PATO: Policy Assisted TeleOperation for Scalable Robot Data Collection Shivin Dass Karl Pertsch Hejia Zhang Youngwoon Lee Joseph J. Lim Stefanos Nikolaidis 53 14 0 09 Dec 2022
Pretraining in Deep Reinforcement Learning: A Survey Zhihui Xie Zichuan Lin Junyou Li Shuai Li Deheng Ye OffRL OnRL AI4CE 26 23 0 08 Nov 2022
STAP: Sequencing Task-Agnostic Policies Christopher Agia Toki Migimatsu Jiajun Wu Jeannette Bohg 43 19 0 21 Oct 2022
PI-QT-Opt: Predictive Information Improves Multi-Task Robotic Reinforcement Learning at Scale Kuang-Huei Lee Ted Xiao A. Li Paul Wohlhart Ian S. Fischer Yao Lu 51 10 0 15 Oct 2022
Generalization with Lossy Affordances: Leveraging Broad Offline Data for Learning Visuomotor Tasks Kuan Fang Patrick Yin Ashvin Nair Homer Walke Ge Yan Sergey Levine OffRL 31 22 0 12 Oct 2022
Mastering the Unsupervised Reinforcement Learning Benchmark from Pixels Sai Rajeswar Pietro Mazzaglia Tim Verbelen Alexandre Piché Bart Dhoedt Aaron C. Courville Alexandre Lacoste SSL 26 21 0 24 Sep 2022
Phasic Self-Imitative Reduction for Sparse-Reward Goal-Conditioned Reinforcement Learning Yunfei Li Tian Gao Jiaqi Yang Huazhe Xu Yi Wu OffRL 19 22 0 24 Jun 2022
Multi-Horizon Representations with Hierarchical Forward Models for Reinforcement Learning Trevor A. McInroe Lukas Schafer Stefano V. Albrecht 24 4 0 22 Jun 2022
ARC - Actor Residual Critic for Adversarial Imitation Learning A. Deka Changliu Liu Katia P. Sycara 39 5 0 05 Jun 2022
Reincarnating Reinforcement Learning: Reusing Prior Computation to Accelerate Progress Rishabh Agarwal Max Schwarzer Pablo Samuel Castro Aaron C. Courville Marc G. Bellemare OffRL OnRL 31 63 0 03 Jun 2022
Play it by Ear: Learning Skills amidst Occlusion through Audio-Visual Imitation Learning Maximilian Du Olivia Y. Lee Suraj Nair Chelsea Finn OffRL 57 32 0 30 May 2022
Planning to Practice: Efficient Online Fine-Tuning by Composing Goals in Latent Space Kuan Fang Patrick Yin Ashvin Nair Sergey Levine OffRL 55 29 0 17 May 2022
Jump-Start Reinforcement Learning Ikechukwu Uchendu Ted Xiao Yao Lu Banghua Zhu Mengyuan Yan ... Chuyuan Fu Cong Ma Jiantao Jiao Sergey Levine Karol Hausman OffRL OnRL 38 109 0 05 Apr 2022
Quad2Plane: An Intermediate Training Procedure for Online Exploration in Aerial Robotics via Receding Horizon Control Alexander D. Quessy T. Richardson 8 0 0 21 Mar 2022
Online Decision Transformer Qinqing Zheng Amy Zhang Aditya Grover OffRL 16 204 0 11 Feb 2022
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