Offline Learning from Demonstrations and Unlabeled Experience

27 November 2020

Papers citing "Offline Learning from Demonstrations and Unlabeled Experience"

50 / 51 papers shown

Title
Multi-Stage Manipulation with Demonstration-Augmented Reward, Policy, and World Model Learning Adrià López Escoriza Nicklas Hansen Stone Tao Tongzhou Mu H. Su OffRL 60 0 0 03 Mar 2025
Subtask-Aware Visual Reward Learning from Segmented Demonstrations Changyeon Kim Minho Heo Doohyun Lee Jinwoo Shin Honglak Lee Joseph J. Lim Kimin Lee 39 0 0 28 Feb 2025
Policy Decorator: Model-Agnostic Online Refinement for Large Policy Model Xiu Yuan Tongzhou Mu Stone Tao Yunhao Fang Mengke Zhang H. Su OffRL 66 3 0 18 Dec 2024
Offline Reinforcement Learning with Imputed Rewards Carlo Romeo Andrew D. Bagdanov OffRL 31 0 0 15 Jul 2024
A Dual Approach to Imitation Learning from Observations with Offline Datasets Harshit S. Sikchi Caleb Chuck Amy Zhang S. Niekum OffRL 25 4 0 13 Jun 2024
Augmenting Offline RL with Unlabeled Data Zhao Wang Briti Gangopadhyay Jia-Fong Yeh Shingo Takamatsu OffRL 26 0 0 11 Jun 2024
How to Leverage Diverse Demonstrations in Offline Imitation Learning Sheng Yue Jiani Liu Xingyuan Hua Ju Ren Sen Lin Junshan Zhang Yaoxue Zhang OffRL 32 2 0 24 May 2024
DIDI: Diffusion-Guided Diversity for Offline Behavioral Generation Jinxin Liu Xinghong Guo Zifeng Zhuang Donglin Wang DiffM OffRL 42 2 0 23 May 2024
DrS: Learning Reusable Dense Rewards for Multi-Stage Tasks Tongzhou Mu Minghua Liu Hao Su OffRL 45 2 0 25 Apr 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
SEABO: A Simple Search-Based Method for Offline Imitation Learning Jiafei Lyu Xiaoteng Ma Le Wan Runze Liu Xiu Li Zongqing Lu OffRL 19 9 0 06 Feb 2024
Transductive Reward Inference on Graph B. Qu Xiaofeng Cao Qing-Wu Guo Yi Chang Ivor W. Tsang Chengqi Zhang OffRL 30 0 0 06 Feb 2024
Context-Former: Stitching via Latent Conditioned Sequence Modeling Ziqi Zhang Jingzehua Xu Jinxin Liu Zifeng Zhuang Donglin Wang Miao Liu Shuai Zhang OffRL 40 4 0 29 Jan 2024
Offline Imitation from Observation via Primal Wasserstein State Occupancy Matching Kai Yan A. Schwing Yu-xiong Wang OffRL 16 0 0 02 Nov 2023
A Simple Solution for Offline Imitation from Observations and Examples with Possibly Incomplete Trajectories Kai Yan A. Schwing Yu-xiong Wang OffRL 22 5 0 02 Nov 2023
Offline Imitation Learning with Variational Counterfactual Reasoning Bowei He Zexu Sun Jinxin Liu Shuai Zhang Xu Chen Chen-li Ma OffRL 31 8 0 07 Oct 2023
REBOOT: Reuse Data for Bootstrapping Efficient Real-World Dexterous Manipulation Zheyuan Hu Aaron Rovinsky Jianlan Luo Vikash Kumar Abhishek Gupta Sergey Levine OffRL 14 9 0 06 Sep 2023
Contrastive Example-Based Control Kyle Hatch Benjamin Eysenbach Rafael Rafailov Tianhe Yu Ruslan Salakhutdinov Sergey Levine Chelsea Finn OffRL 23 4 0 24 Jul 2023
CEIL: Generalized Contextual Imitation Learning Jinxin Liu Li He Yachen Kang Zifeng Zhuang Donglin Wang Huazhe Xu 31 18 0 26 Jun 2023
CLUE: Calibrated Latent Guidance for Offline Reinforcement Learning Jinxin Liu Lipeng Zu Li He Donglin Wang OffRL 38 8 0 23 Jun 2023
Survival Instinct in Offline Reinforcement Learning Anqi Li Dipendra Kumar Misra Andrey Kolobov Ching-An Cheng OffRL 16 15 0 05 Jun 2023
Coherent Soft Imitation Learning Joe Watson Sandy H. Huang Nicholas Heess 30 11 0 25 May 2023
MAHALO: Unifying Offline Reinforcement Learning and Imitation Learning from Observations Anqi Li Byron Boots Ching-An Cheng OffRL 28 16 0 30 Mar 2023
Optimal Transport for Offline Imitation Learning Yicheng Luo Zhengyao Jiang Samuel N. Cohen Edward Grefenstette M. Deisenroth OffRL 30 26 0 24 Mar 2023
Boosting Reinforcement Learning and Planning with Demonstrations: A Survey Tongzhou Mu H. Su OffRL 35 1 0 23 Mar 2023
Programmatic Imitation Learning from Unlabeled and Noisy Demonstrations Jimmy Xin Linus Zheng Kia Rahmani Jiayi Wei Jarrett Holtz Işıl Dillig Joydeep Biswas 30 1 0 02 Mar 2023
Dual RL: Unification and New Methods for Reinforcement and Imitation Learning Harshit S. Sikchi Qinqing Zheng Amy Zhang S. Niekum OffRL 28 19 0 16 Feb 2023
When Demonstrations Meet Generative World Models: A Maximum Likelihood Framework for Offline Inverse Reinforcement Learning Siliang Zeng Chenliang Li Alfredo García Min-Fong Hong OffRL 28 13 0 15 Feb 2023
CLARE: Conservative Model-Based Reward Learning for Offline Inverse Reinforcement Learning Sheng Yue Guan-Bo Wang Wei Shao Zhaofeng Zhang Sen Lin Junkai Ren Junshan Zhang OffRL 23 20 0 09 Feb 2023
A Strong Baseline for Batch Imitation Learning Matthew Smith Lucas Maystre Zhenwen Dai K. Ciosek OffRL 12 4 0 06 Feb 2023
Mind the Gap: Offline Policy Optimization for Imperfect Rewards Jianxiong Li Xiao Hu Haoran Xu Jingjing Liu Xianyuan Zhan Qing-Shan Jia Ya-Qin Zhang OffRL 38 19 0 03 Feb 2023
Benchmarks and Algorithms for Offline Preference-Based Reward Learning Daniel Shin Anca Dragan Daniel S. Brown OffRL 14 53 0 03 Jan 2023
Training Robots to Evaluate Robots: Example-Based Interactive Reward Functions for Policy Learning Kun-Yen Huang E. Hu Dinesh Jayaraman OffRL 28 5 0 17 Dec 2022
Multi-Environment Pretraining Enables Transfer to Action Limited Datasets David Venuto Sherry Yang Pieter Abbeel Doina Precup Igor Mordatch Ofir Nachum OffRL 20 5 0 23 Nov 2022
Robot Learning on the Job: Human-in-the-Loop Autonomy and Learning During Deployment Huihan Liu Soroush Nasiriany Lance Zhang Zhiyao Bao Yuke Zhu 36 55 0 15 Nov 2022
Real World Offline Reinforcement Learning with Realistic Data Source G. Zhou Liyiming Ke S. Srinivasa Abhi Gupta Aravind Rajeswaran Vikash Kumar OffRL 32 21 0 12 Oct 2022
Discriminator-Weighted Offline Imitation Learning from Suboptimal Demonstrations Haoran Xu Xianyuan Zhan Honglei Yin Huiling Qin OffRL 24 66 0 20 Jul 2022
Discriminator-Guided Model-Based Offline Imitation Learning Wenjia Zhang Haoran Xu Haoyi Niu Peng Cheng Ming Li Heming Zhang Guyue Zhou Xianyuan Zhan OffRL 8 16 0 01 Jul 2022
A Generalist Agent Scott E. Reed Konrad Zolna Emilio Parisotto Sergio Gomez Colmenarejo Alexander Novikov ... Yutian Chen R. Hadsell Oriol Vinyals Mahyar Bordbar Nando de Freitas LM&Ro LLMAG AI4CE 54 783 0 12 May 2022
Versatile Offline Imitation from Observations and Examples via Regularized State-Occupancy Matching Yecheng Jason Ma Andrew Shen Dinesh Jayaraman Osbert Bastani OffRL 21 32 0 04 Feb 2022
Safe Deep RL in 3D Environments using Human Feedback Matthew Rahtz Vikrant Varma Ramana Kumar Zachary Kenton Shane Legg Jan Leike 24 4 0 20 Jan 2022
TRAIL: Near-Optimal Imitation Learning with Suboptimal Data Mengjiao Yang Sergey Levine Ofir Nachum OffRL 27 41 0 27 Oct 2021
A Closer Look at Advantage-Filtered Behavioral Cloning in High-Noise Datasets J. E. Grigsby Yanjun Qi OffRL 13 4 0 10 Oct 2021
Provably Efficient Generative Adversarial Imitation Learning for Online and Offline Setting with Linear Function Approximation Zhihan Liu Yufeng Zhang Zuyue Fu Zhuoran Yang Zhaoran Wang OffRL 18 6 0 19 Aug 2021
Offline Preference-Based Apprenticeship Learning Daniel Shin Daniel S. Brown Anca D. Dragan OffRL 19 17 0 20 Jul 2021
Offline Meta-Reinforcement Learning with Online Self-Supervision Vitchyr H. Pong Ashvin Nair Laura M. Smith Catherine Huang Sergey Levine OffRL 26 66 0 08 Jul 2021
Offline Inverse Reinforcement Learning Firas Jarboui Vianney Perchet OffRL 11 13 0 09 Jun 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 C. Julian Chelsea Finn Sergey Levine SSL OffRL 18 145 0 15 Apr 2021
Replacing Rewards with Examples: Example-Based Policy Search via Recursive Classification Benjamin Eysenbach Sergey Levine Ruslan Salakhutdinov OffRL 29 50 0 23 Mar 2021
Semi-supervised reward learning for offline reinforcement learning Ksenia Konyushkova Konrad Zolna Y. Aytar Alexander Novikov Scott E. Reed Serkan Cabi Nando de Freitas SSL OffRL 58 23 0 12 Dec 2020