机器人 / 具身智能 - arXivDaily 专题

2503.18531 2025-03-25 cs.RO cs.LG cs.NE 73%

Parental Guidance: Efficient Lifelong Learning through Evolutionary Distillation

Octi Zhang, Quanquan Peng, Rosario Scalise, Bryon Boots

专题命中模仿学习与强化学习：robotics(abstract)；robotic(abstract)；分类 cs.RO、cs.LG

Comments 4 pages, 3 figures, CoRL 2024 Workshop MAPoDeL

2412.09149 2025-02-28 cs.RO cs.LG 73%

Student-Informed Teacher Training

Nico Messikommer, Jiaxu Xing, Elie Aljalbout, Davide Scaramuzza

专题命中模仿学习与强化学习：manipulation(abstract)；navigation(abstract)；分类 cs.RO、cs.LG

Journal ref International Conference on Learning Representations (ICLR) 2025

2502.11377 2025-02-19 cs.RO cs.LG 73%

PrivilegedDreamer: Explicit Imagination of Privileged Information for Rapid Adaptation of Learned Policies

Morgan Byrd, Jackson Crandell, Mili Das, Jessica Inman, Robert Wright, Sehoon Ha

专题命中模仿学习与强化学习：manipulation(abstract)；robotic(abstract)；分类 cs.RO、cs.LG

Comments Accepted to ICRA 2025. Website: https://morganbyrd03.github.io/icra25_privileged_dreamer/

2502.01784 2025-02-05 cs.RO cs.CV 73%

VILP: Imitation Learning with Latent Video Planning

Zhengtong Xu, Qiang Qiu, Yu She

专题命中模仿学习与强化学习：robotics(abstract)；robot policy(abstract)；分类 cs.RO、cs.CV

2501.08259 2025-01-15 cs.RO cs.LG 73%

FDPP: Fine-tune Diffusion Policy with Human Preference

Yuxin Chen, Devesh K. Jha, Masayoshi Tomizuka, Diego Romeres

专题命中模仿学习与强化学习：manipulation(abstract)；robotic(abstract)；分类 cs.RO、cs.LG

2408.14518 2025-01-14 cs.RO cs.LG 73%

A Survey on Reinforcement Learning Applications in SLAM

Mohammad Dehghani Tezerjani, Mohammad Khoshnazar, Mohammadhamed Tangestanizadeh, Arman Kiani, Qing Yang

专题命中模仿学习与强化学习：robotics(abstract)；navigation(abstract)；分类 cs.RO、cs.LG

2406.06874 2024-12-03 cs.AI cs.HC cs.RO 73%

Learning Reward and Policy Jointly from Demonstration and Preference Improves Alignment

Chenliang Li, Siliang Zeng, Zeyi Liao, Jiaxiang Li, Dongyeop Kang, Alfredo Garcia, Mingyi Hong

专题命中模仿学习与强化学习：embodied AI(abstract)；robotic(abstract)；分类 cs.RO、cs.AI

2411.19809 2024-12-02 cs.RO cs.AI cs.SY eess.SY 73%

Q-learning-based Model-free Safety Filter

Guo Ning Sue, Yogita Choudhary, Richard Desatnik, Carmel Majidi, John Dolan, Guanya Shi

专题命中模仿学习与强化学习：robotics(abstract)；robotic(abstract)；分类 cs.RO、cs.AI

Comments *Denotes equal contribution

2312.07624 2024-11-07 cs.LG cs.AI 73%

A dynamical clipping approach with task feedback for Proximal Policy Optimization

Ziqi Zhang, Jingzehua Xu, Zifeng Zhuang, Hongyin Zhang, Jinxin Liu, Donglin wang, Shuai Zhang

专题命中模仿学习与强化学习：robotics(abstract)；navigation(abstract)；分类 cs.AI、cs.LG

2410.15469 2024-10-22 cs.RO cs.AI 73%

AssemblyComplete: 3D Combinatorial Construction with Deep Reinforcement Learning

Alan Chen, Changliu Liu

专题命中模仿学习与强化学习：robotics(abstract)；robot policy(abstract)；分类 cs.RO、cs.AI

Comments Submitted to 2025 American Control Conference (ACC)

2408.02912 2024-10-18 cs.RO cs.AI 73%

KOI: Accelerating Online Imitation Learning via Hybrid Key-state Guidance

Jingxian Lu, Wenke Xia, Dong Wang, Zhigang Wang, Bin Zhao, Di Hu, Xuelong Li

专题命中模仿学习与强化学习：manipulation(abstract)；robotic(abstract)；分类 cs.RO、cs.AI

Comments Accepted by CoRL 2024

2409.14674 2024-09-24 cs.RO cs.CL cs.CV 73%

RACER: Rich Language-Guided Failure Recovery Policies for Imitation Learning

Yinpei Dai, Jayjun Lee, Nima Fazeli, Joyce Chai

专题命中模仿学习与强化学习：manipulation(abstract)；robotic(abstract)；分类 cs.RO、cs.CV

Comments Project Website: https://rich-language-failure-recovery.github.io

1906.02003 2024-09-23 cs.LG cs.RO cs.SY eess.SY stat.ML 73%

Machine Learning and System Identification for Estimation in Physical Systems

Fredrik Bagge Carlson

专题命中模仿学习与强化学习：robotics(abstract)；robotic(abstract)；分类 cs.RO、cs.LG

Comments 184 pages, PhD thesis, Lund University, 2018

2407.12792 2024-09-17 cs.LG cs.CV 73%

Visually Robust Adversarial Imitation Learning from Videos with Contrastive Learning

Vittorio Giammarino, James Queeney, Ioannis Ch. Paschalidis

专题命中模仿学习与强化学习：manipulation(abstract)；robotic(abstract)；分类 cs.CV、cs.LG

2409.03402 2024-09-06 cs.AI cs.RO 73%

Game On: Towards Language Models as RL Experimenters

Jingwei Zhang, Thomas Lampe, Abbas Abdolmaleki, Jost Tobias Springenberg, Martin Riedmiller

专题命中模仿学习与强化学习：robotics(abstract)；embodied agent(abstract)；分类 cs.RO、cs.AI

2408.14063 2024-08-27 cs.RO cs.LG 73%

Bridging the gap between Learning-to-plan, Motion Primitives and Safe Reinforcement Learning

Piotr Kicki, Davide Tateo, Puze Liu, Jonas Guenster, Jan Peters, Krzysztof Walas

专题命中模仿学习与强化学习：robotics(abstract)；robotic(abstract)；分类 cs.RO、cs.LG

2408.08441 2024-08-19 cs.LG cs.RO 73%

D5RL: Diverse Datasets for Data-Driven Deep Reinforcement Learning

Rafael Rafailov, Kyle Hatch, Anikait Singh, Laura Smith, Aviral Kumar, Ilya Kostrikov, Philippe Hansen-Estruch, Victor Kolev, Philip Ball, Jiajun Wu, Chelsea Finn, Sergey Levine

专题命中模仿学习与强化学习：manipulation(abstract)；robotic(abstract)；分类 cs.RO、cs.LG

Comments RLC 2024

2408.03807 2024-08-08 cs.RO cs.AI 73%

Navigating the Human Maze: Real-Time Robot Pathfinding with Generative Imitation Learning

Martin Moder, Stephen Adhisaputra, Josef Pauli

专题命中模仿学习与强化学习：navigation(abstract)；robotic(abstract)；分类 cs.RO、cs.AI

2407.13006 2024-07-19 cs.LG cs.AI 73%

Sparsity-based Safety Conservatism for Constrained Offline Reinforcement Learning

Minjae Cho, Chuangchuang Sun

专题命中模仿学习与强化学习：manipulation(abstract)；robotic(abstract)；分类 cs.AI、cs.LG

2402.14194 2024-07-12 cs.LG cs.RO 73%

BeTAIL: Behavior Transformer Adversarial Imitation Learning from Human Racing Gameplay

Catherine Weaver, Chen Tang, Ce Hao, Kenta Kawamoto, Masayoshi Tomizuka, Wei Zhan

专题命中模仿学习与强化学习：robotics(abstract)；robotic(abstract)；分类 cs.RO、cs.LG

Comments Preprint

2407.00324 2024-07-10 cs.RO cs.LG 73%

Revisiting Sparse Rewards for Goal-Reaching Reinforcement Learning

Gautham Vasan, Yan Wang, Fahim Shahriar, James Bergstra, Martin Jagersand, A. Rupam Mahmood

专题命中模仿学习与强化学习：robot learning(abstract)；robotic(abstract)；分类 cs.RO、cs.LG

Comments In Proceedings of Reinforcement Learning Conference 2024. For a video demo, see https://youtu.be/a6zlVUuKzBc

2406.09976 2024-07-02 cs.LG cs.AI 73%

Robust Model-Based Reinforcement Learning with an Adversarial Auxiliary Model

Siemen Herremans, Ali Anwar, Siegfried Mercelis

专题命中模仿学习与强化学习：robotics(abstract)；world model(abstract)；分类 cs.AI、cs.LG

Comments Will be presented at the RL Safety Workshop at RLC 2024

2402.03741 2024-06-27 cs.LG cs.AI cs.CR 73%

SUB-PLAY: Adversarial Policies against Partially Observed Multi-Agent Reinforcement Learning Systems

Oubo Ma, Yuwen Pu, Linkang Du, Yang Dai, Ruo Wang, Xiaolei Liu, Yingcai Wu, Shouling Ji

专题命中模仿学习与强化学习：manipulation(abstract)；robotic(abstract)；分类 cs.AI、cs.LG

Comments To appear in the ACM Conference on Computer and Communications Security (CCS'24), October 14-18, 2024, Salt Lake City, UT, USA

2406.12359 2024-06-19 cs.LG cs.AI 73%

Memory Sequence Length of Data Sampling Impacts the Adaptation of Meta-Reinforcement Learning Agents

Menglong Zhang, Fuyuan Qian, Quanying Liu

专题命中模仿学习与强化学习：embodied agent(abstract)；navigation(abstract)；分类 cs.AI、cs.LG

2306.12594 2024-06-19 cs.LG cs.RO 73%

State-wise Constrained Policy Optimization

Weiye Zhao, Rui Chen, Yifan Sun, Tianhao Wei, Changliu Liu

专题命中模仿学习与强化学习：robotics(abstract)；manipulation(abstract)；分类 cs.RO、cs.LG

Comments Published in Transactions of Machine Learning Research

Journal ref Transactions on Machine Learning Research (2024). ISSN: 2835-8856. https://openreview.net/forum?id=NgK5etmhz9

2310.20025 2024-05-17 cs.LG cs.AI 73%

GOPlan: Goal-conditioned Offline Reinforcement Learning by Planning with Learned Models

Mianchu Wang, Rui Yang, Xi Chen, Hao Sun, Meng Fang, Giovanni Montana

专题命中模仿学习与强化学习：manipulation(abstract)；navigation(abstract)；分类 cs.AI、cs.LG

Comments Spotlight Presentation at Goal-conditioned Reinforcement Learning Workshop at NeurIPS 2023

Journal ref Transactions on Machine Learning Research (05/2024)

2404.08828 2024-04-16 cs.LG cs.AI cs.HC 73%

Hindsight PRIORs for Reward Learning from Human Preferences

Mudit Verma, Katherine Metcalf

专题命中模仿学习与强化学习：manipulation(abstract)；world model(abstract)；分类 cs.AI、cs.LG

Comments International Conference on Learning Representations, 2024

2403.18765 2024-03-28 cs.RO cs.LG 73%

CaT: Constraints as Terminations for Legged Locomotion Reinforcement Learning

Elliot Chane-Sane, Pierre-Alexandre Leziart, Thomas Flayols, Olivier Stasse, Philippe Souères, Nicolas Mansard

专题命中模仿学习与强化学习：robot learning(abstract)；robotic(abstract)；分类 cs.RO、cs.LG

Comments Project webpage: https://constraints-as-terminations.github.io

2403.13910 2024-03-22 cs.RO cs.GR cs.LG 73%

Augmented Reality Demonstrations for Scalable Robot Imitation Learning

Yue Yang, Bryce Ikeda, Gedas Bertasius, Daniel Szafir

专题命中模仿学习与强化学习：robotics(abstract)；manipulation(abstract)；分类 cs.RO、cs.LG

2403.06313 2024-03-12 cs.LG cs.AI 73%

Optimal Policy Sparsification and Low Rank Decomposition for Deep Reinforcement Learning

Vikram Goddla

专题命中模仿学习与强化学习：robotics(abstract)；robot learning(abstract)；分类 cs.AI、cs.LG

1. 模仿学习与强化学习 4111 篇

Parental Guidance: Efficient Lifelong Learning through Evolutionary Distillation

Student-Informed Teacher Training

PrivilegedDreamer: Explicit Imagination of Privileged Information for Rapid Adaptation of Learned Policies

VILP: Imitation Learning with Latent Video Planning

FDPP: Fine-tune Diffusion Policy with Human Preference

A Survey on Reinforcement Learning Applications in SLAM

Learning Reward and Policy Jointly from Demonstration and Preference Improves Alignment

Q-learning-based Model-free Safety Filter

A dynamical clipping approach with task feedback for Proximal Policy Optimization

AssemblyComplete: 3D Combinatorial Construction with Deep Reinforcement Learning

KOI: Accelerating Online Imitation Learning via Hybrid Key-state Guidance

RACER: Rich Language-Guided Failure Recovery Policies for Imitation Learning

Machine Learning and System Identification for Estimation in Physical Systems

Visually Robust Adversarial Imitation Learning from Videos with Contrastive Learning

Game On: Towards Language Models as RL Experimenters

Bridging the gap between Learning-to-plan, Motion Primitives and Safe Reinforcement Learning

D5RL: Diverse Datasets for Data-Driven Deep Reinforcement Learning

Navigating the Human Maze: Real-Time Robot Pathfinding with Generative Imitation Learning

Sparsity-based Safety Conservatism for Constrained Offline Reinforcement Learning

BeTAIL: Behavior Transformer Adversarial Imitation Learning from Human Racing Gameplay

Revisiting Sparse Rewards for Goal-Reaching Reinforcement Learning

Robust Model-Based Reinforcement Learning with an Adversarial Auxiliary Model

SUB-PLAY: Adversarial Policies against Partially Observed Multi-Agent Reinforcement Learning Systems

Memory Sequence Length of Data Sampling Impacts the Adaptation of Meta-Reinforcement Learning Agents

State-wise Constrained Policy Optimization

GOPlan: Goal-conditioned Offline Reinforcement Learning by Planning with Learned Models

Hindsight PRIORs for Reward Learning from Human Preferences

CaT: Constraints as Terminations for Legged Locomotion Reinforcement Learning

Augmented Reality Demonstrations for Scalable Robot Imitation Learning

Optimal Policy Sparsification and Low Rank Decomposition for Deep Reinforcement Learning