机器人 / 具身智能 - arXivDaily 专题

2501.06773 2025-01-15 cs.LG 70%

Pareto Set Learning for Multi-Objective Reinforcement Learning

Erlong Liu, Yu-Chang Wu, Xiaobin Huang, Chengrui Gao, Ren-Jian Wang, Ke Xue, Chao Qian

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

Comments AAAI 2025 Accept

2412.05426 2024-12-10 cs.RO cs.AI cs.CV cs.LG 70%

What's the Move? Hybrid Imitation Learning via Salient Points

Priya Sundaresan, Hengyuan Hu, Quan Vuong, Jeannette Bohg, Dorsa Sadigh

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

2410.02038 2024-12-03 cs.LG 70%

Realizable Continuous-Space Shields for Safe Reinforcement Learning

Kyungmin Kim, Davide Corsi, Andoni Rodriguez, JB Lanier, Benjami Parellada, Pierre Baldi, Cesar Sanchez, Roy Fox

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

Comments Kim, Corsi, and Rodriguez contributed equally

2411.17293 2024-11-27 cs.RO 70%

SIL-RRT*: Learning Sampling Distribution through Self Imitation Learning

Xuzhe Dang, Stefan Edelkamp

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

2406.06005 2024-11-08 cs.RO cs.GR cs.SY eess.SY 70%

WoCoCo: Learning Whole-Body Humanoid Control with Sequential Contacts

Chong Zhang, Wenli Xiao, Tairan He, Guanya Shi

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

Comments Website, Code, and Videos: https://lecar-lab.github.io/wococo/

2410.24218 2024-11-01 cs.CL cs.AI cs.CV cs.LG cs.RO 70%

Teaching Embodied Reinforcement Learning Agents: Informativeness and Diversity of Language Use

Jiajun Xi, Yinong He, Jianing Yang, Yinpei Dai, Joyce Chai

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

Comments EMNLP 2024 Main. Project website: https://github.com/sled-group/Teachable_RL

2407.00633 2024-10-24 cs.CV 70%

DEAR: Disentangled Environment and Agent Representations for Reinforcement Learning without Reconstruction

Ameya Pore, Riccardo Muradore, Diego Dall'Alba

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

Comments 6 pages, 7 figures, 2 tables. Accepted at 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2024)

2408.04054 2024-10-18 cs.AI 70%

PLANRL: A Motion Planning and Imitation Learning Framework to Bootstrap Reinforcement Learning

Amisha Bhaskar, Zahiruddin Mahammad, Sachin R Jadhav, Pratap Tokekar

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

Comments 16 pages, 10 figures

2409.07268 2024-10-16 cs.LG 70%

Multi-Type Preference Learning: Empowering Preference-Based Reinforcement Learning with Equal Preferences

Ziang Liu, Junjie Xu, Xingjiao Wu, Jing Yang, Liang He

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

Comments 8 pages, 6 figures

2401.11630 2024-10-16 cs.LG cs.SY eess.SY 70%

Solving Offline Reinforcement Learning with Decision Tree Regression

Prajwal Koirala, Cody Fleming

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

2404.10632 2024-10-14 cs.RO 70%

Compact Multi-Object Placement Using Adjacency-Aware Reinforcement Learning

Benedikt Kreis, Nils Dengler, Jorge de Heuvel, Rohit Menon, Hamsa Perur, Maren Bennewitz

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

Comments Accepted to IEEE-RAS International Conference on Humanoid Robots (Humanoids) 2024

2409.13620 2024-09-23 cs.RO 70%

Subassembly to Full Assembly: Effective Assembly Sequence Planning through Graph-based Reinforcement Learning

Chang Shu, Anton Kim, Shinkyu Park

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

2311.01419 2024-08-28 cs.RO 70%

C3DM: Constrained-Context Conditional Diffusion Models for Imitation Learning

Vaibhav Saxena, Yotto Koga, Danfei Xu

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

2312.09394 2024-07-29 cs.RO 70%

HiER: Highlight Experience Replay for Boosting Off-Policy Reinforcement Learning Agents

Dániel Horváth, Jesús Bujalance Martín, Ferenc Gábor Erdős, Zoltán Istenes, Fabien Moutarde

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

Comments Published in IEEE Access

2407.12998 2024-07-19 cs.RO 70%

Surgical Robot Transformer (SRT): Imitation Learning for Surgical Tasks

Ji Woong Kim, Tony Z. Zhao, Samuel Schmidgall, Anton Deguet, Marin Kobilarov, Chelsea Finn, Axel Krieger

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

Comments 8 pages

2407.07787 2024-07-11 cs.RO cs.AI cs.CV cs.LG cs.SY eess.SY 70%

Continuous Control with Coarse-to-fine Reinforcement Learning

Younggyo Seo, Jafar Uruç, Stephen James

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

Comments Project webpage: https://younggyo.me/cqn/

2309.14237 2024-07-01 cs.RO 70%

Hierarchical Reinforcement Learning Based on Planning Operators

Jing Zhang, Emmanuel Dean, Karinne Ramirez-Amaro

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

2406.06507 2024-06-24 cs.LG 70%

Verification-Guided Shielding for Deep Reinforcement Learning

Davide Corsi, Guy Amir, Andoni Rodriguez, Cesar Sanchez, Guy Katz, Roy Fox

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

Comments Accepted in the 1st Reinforcement Learning Conference (RLC), 2024. [Corsi and Amir contributed equally]

2306.03680 2024-06-18 cs.LG 70%

Mildly Constrained Evaluation Policy for Offline Reinforcement Learning

Linjie Xu, Zhengyao Jiang, Jinyu Wang, Lei Song, Jiang Bian

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

2210.09846 2024-04-02 cs.AI cs.CV cs.LG cs.RO 70%

G-PECNet: Towards a Generalizable Pedestrian Trajectory Prediction System

Aryan Garg, Renu M. Rameshan

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

Comments Notable ICLR Tiny Paper 2024

2403.06091 2024-03-19 physics.flu-dyn cs.RO 70%

Fish-inspired tracking of underwater turbulent plumes

Peter Gunnarson, John O. Dabiri

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

2403.10290 2024-03-18 cs.RO cs.SY eess.SY 70%

Offline Goal-Conditioned Reinforcement Learning for Shape Control of Deformable Linear Objects

Rita Laezza, Mohammadreza Shetab-Bushehri, Gabriel Arslan Waltersson, Erol Özgür, Youcef Mezouar, Yiannis Karayiannidis

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

2401.16653 2024-02-06 cs.RO 70%

ILBiT: Imitation Learning for Robot Using Position and Torque Information based on Bilateral Control with Transformer

Masato Kobayashi, Thanpimon Buamanee, Yuki Uranishi, Haruo Takemura

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

2402.00676 2024-02-02 cs.RO cs.AI cs.CV cs.LG cs.NE 70%

Deep Robot Sketching: An application of Deep Q-Learning Networks for human-like sketching

Raul Fernandez-Fernandez, Juan G. Victores, Carlos Balaguer

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

Journal ref Cognitive Systems Research, Volume 81, September 2023, pages 57 to 63

2312.14472 2024-01-26 cs.AI 70%

Not All Tasks Are Equally Difficult: Multi-Task Deep Reinforcement Learning with Dynamic Depth Routing

Jinmin He, Kai Li, Yifan Zang, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng

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

Comments AAAI2024, with supplementary material

Journal ref 38th AAAI Conference on Artificial Intelligence (AAAI2024), Vancouver, BC, Canada, 2024

2401.12917 2024-01-24 cs.AI 70%

Active Inference as a Model of Agency

Lancelot Da Costa, Samuel Tenka, Dominic Zhao, Noor Sajid

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

Comments Accepted in RLDM2022 for the workshop 'RL as a model of agency'

2312.15339 2023-12-27 cs.LG cs.AI cs.CV cs.RO 70%

MaDi: Learning to Mask Distractions for Generalization in Visual Deep Reinforcement Learning

Bram Grooten, Tristan Tomilin, Gautham Vasan, Matthew E. Taylor, A. Rupam Mahmood, Meng Fang, Mykola Pechenizkiy, Decebal Constantin Mocanu

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

Comments Accepted as full-paper (oral) at AAMAS 2024. Code is available at https://github.com/bramgrooten/mask-distractions and see our 40-second video at https://youtu.be/2oImF0h1k48

2310.09574 2023-12-22 cs.LG 70%

Reduced Policy Optimization for Continuous Control with Hard Constraints

Shutong Ding, Jingya Wang, Yali Du, Ye Shi

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

Comments Accepted by NeurIPS2023

2312.06518 2023-12-12 cs.LG 70%

Decoupling Meta-Reinforcement Learning with Gaussian Task Contexts and Skills

Hongcai He, Anjie Zhu, Shuang Liang, Feiyu Chen, Jie Shao

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

Comments Accepted by AAAI 2024 (this version includes appendix)

2312.01473 2023-12-05 cs.LG 70%

Regularity as Intrinsic Reward for Free Play

Cansu Sancaktar, Justus Piater, Georg Martius

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

Comments NeurIPS 2023 camera-ready version. Project webpage at http://sites.google.com/view/rair-project

1. 模仿学习与强化学习 4111 篇

Pareto Set Learning for Multi-Objective Reinforcement Learning

What's the Move? Hybrid Imitation Learning via Salient Points

Realizable Continuous-Space Shields for Safe Reinforcement Learning

SIL-RRT*: Learning Sampling Distribution through Self Imitation Learning

WoCoCo: Learning Whole-Body Humanoid Control with Sequential Contacts

Teaching Embodied Reinforcement Learning Agents: Informativeness and Diversity of Language Use

DEAR: Disentangled Environment and Agent Representations for Reinforcement Learning without Reconstruction

PLANRL: A Motion Planning and Imitation Learning Framework to Bootstrap Reinforcement Learning

Multi-Type Preference Learning: Empowering Preference-Based Reinforcement Learning with Equal Preferences

Solving Offline Reinforcement Learning with Decision Tree Regression

Compact Multi-Object Placement Using Adjacency-Aware Reinforcement Learning

Subassembly to Full Assembly: Effective Assembly Sequence Planning through Graph-based Reinforcement Learning

C3DM: Constrained-Context Conditional Diffusion Models for Imitation Learning

HiER: Highlight Experience Replay for Boosting Off-Policy Reinforcement Learning Agents

Surgical Robot Transformer (SRT): Imitation Learning for Surgical Tasks

Continuous Control with Coarse-to-fine Reinforcement Learning

Hierarchical Reinforcement Learning Based on Planning Operators

Verification-Guided Shielding for Deep Reinforcement Learning

Mildly Constrained Evaluation Policy for Offline Reinforcement Learning

G-PECNet: Towards a Generalizable Pedestrian Trajectory Prediction System

Fish-inspired tracking of underwater turbulent plumes

Offline Goal-Conditioned Reinforcement Learning for Shape Control of Deformable Linear Objects

ILBiT: Imitation Learning for Robot Using Position and Torque Information based on Bilateral Control with Transformer

Deep Robot Sketching: An application of Deep Q-Learning Networks for human-like sketching

Not All Tasks Are Equally Difficult: Multi-Task Deep Reinforcement Learning with Dynamic Depth Routing

Active Inference as a Model of Agency

MaDi: Learning to Mask Distractions for Generalization in Visual Deep Reinforcement Learning

Reduced Policy Optimization for Continuous Control with Hard Constraints

Decoupling Meta-Reinforcement Learning with Gaussian Task Contexts and Skills

Regularity as Intrinsic Reward for Free Play