机器人 / 具身智能 - arXivDaily 专题

2408.13376 2025-03-13 cs.AI cs.LG cs.SY eess.SY math.CT 62%

Reduce, Reuse, Recycle: Categories for Compositional Reinforcement Learning

Georgios Bakirtzis, Michail Savvas, Ruihan Zhao, Sandeep Chinchali, Ufuk Topcu

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

Comments ECAI 2024

2503.08007 2025-03-12 cs.RO cs.AI 62%

MoRE: Unlocking Scalability in Reinforcement Learning for Quadruped Vision-Language-Action Models

Han Zhao, Wenxuan Song, Donglin Wang, Xinyang Tong, Pengxiang Ding, Xuelian Cheng, Zongyuan Ge

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

Comments Accepted by ICRA 2025

2311.09350 2025-03-12 cs.RO cs.AI 62%

Generalizable Imitation Learning Through Pre-Trained Representations

Wei-Di Chang, Francois Hogan, Scott Fujimoto, David Meger, Gregory Dudek

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

Comments ICRA 2025 Version

2503.07017 2025-03-11 cs.RO cs.LG 62%

How to Train Your Robots? The Impact of Demonstration Modality on Imitation Learning

Haozhuo Li, Yuchen Cui, Dorsa Sadigh

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

Comments 8 pages, ICRA

2503.06627 2025-03-11 cs.LG cs.AI cs.CL 62%

Revisiting Early Detection of Sexual Predators via Turn-level Optimization

Jinmyeong An, Sangwon Ryu, Heejin Do, Yunsu Kim, Jungseul Ok, Gary Geunbae Lee

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

Comments Accepted as a main conference paper at NAACL 2025

2503.05092 2025-03-10 cs.RO cs.AI 62%

Multi-Robot Collaboration through Reinforcement Learning and Abstract Simulation

Adam Labiosa, Josiah P. Hanna

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

Comments ICRA 2025

2503.03039 2025-03-06 cs.LG cs.AI 62%

LLM Misalignment via Adversarial RLHF Platforms

Erfan Entezami, Ali Naseh

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

2503.01363 2025-03-05 cs.RO cs.LG 62%

FABG : End-to-end Imitation Learning for Embodied Affective Human-Robot Interaction

Yanghai Zhang, Changyi Liu, Keting Fu, Wenbin Zhou, Qingdu Li, Jianwei Zhang

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

Comments Project website: https://cybergenies.github.io

2503.01178 2025-03-04 cs.LG cs.RO 62%

Differentiable Information Enhanced Model-Based Reinforcement Learning

Xiaoyuan Zhang, Xinyan Cai, Bo Liu, Weidong Huang, Song-Chun Zhu, Siyuan Qi, Yaodong Yang

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

Comments Accepted by AAAI 2025

2503.01102 2025-03-04 cs.RO cs.AI 62%

Ground contact and reaction force sensing for linear policy control of quadruped robot

Harshita Mhaske, Aniket Mandhare, Jidong Huang, Yu Bai

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

Comments 5 pages, 11 figures

2410.23208 2025-03-04 cs.LG cs.AI 62%

Kinetix: Investigating the Training of General Agents through Open-Ended Physics-Based Control Tasks

Michael Matthews, Michael Beukman, Chris Lu, Jakob Foerster

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

Comments ICLR 2025 Oral. The first two authors contributed equally. Project page located at: https://kinetix-env.github.io/

2502.16863 2025-02-25 cs.MA cs.LG cs.RO 62%

Leveraging Large Language Models for Effective and Explainable Multi-Agent Credit Assignment

Kartik Nagpal, Dayi Dong, Jean-Baptiste Bouvier, Negar Mehr

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

Comments 8 pages+Appendix, 6 Figures, AAMAS 2025

2502.16198 2025-02-25 cs.NI cs.AI cs.ET cs.LG 62%

An Autonomous Network Orchestration Framework Integrating Large Language Models with Continual Reinforcement Learning

Masoud Shokrnezhad, Tarik Taleb

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

Comments IEEE Communications Magazine

2502.15922 2025-02-25 cs.LG cs.RO 62%

On the Design of Safe Continual RL Methods for Control of Nonlinear Systems

Austin Coursey, Marcos Quinones-Grueiro, Gautam Biswas

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

2502.15662 2025-02-24 cs.AI cs.LG 62%

Automating Curriculum Learning for Reinforcement Learning using a Skill-Based Bayesian Network

Vincent Hsiao, Mark Roberts, Laura M. Hiatt, George Konidaris, Dana Nau

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

2502.12330 2025-02-20 cs.RO cs.LG 62%

X-IL: Exploring the Design Space of Imitation Learning Policies

Xiaogang Jia, Atalay Donat, Xi Huang, Xuan Zhao, Denis Blessing, Hongyi Zhou, Han A. Wang, Hanyi Zhang, Qian Wang, Rudolf Lioutikov, Gerhard Neumann

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

2502.12320 2025-02-20 cs.RO cs.CV 62%

Towards Fusing Point Cloud and Visual Representations for Imitation Learning

Atalay Donat, Xiaogang Jia, Xi Huang, Aleksandar Taranovic, Denis Blessing, Ge Li, Hongyi Zhou, Hanyi Zhang, Rudolf Lioutikov, Gerhard Neumann

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

2409.16824 2025-02-20 cs.LG cs.AI 62%

Uncertainty Representations in State-Space Layers for Deep Reinforcement Learning under Partial Observability

Carlos E. Luis, Alessandro G. Bottero, Julia Vinogradska, Felix Berkenkamp, Jan Peters

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

Comments TMLR 2025

2502.10097 2025-02-17 cs.AI cs.LG 62%

Causal Information Prioritization for Efficient Reinforcement Learning

Hongye Cao, Fan Feng, Tianpei Yang, Jing Huo, Yang Gao

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

2502.09923 2025-02-17 cs.CV cs.LG 62%

Self-Consistent Model-based Adaptation for Visual Reinforcement Learning

Xinning Zhou, Chengyang Ying, Yao Feng, Hang Su, Jun Zhu

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

2502.07829 2025-02-13 cs.CV cs.LG 62%

Preference Alignment on Diffusion Model: A Comprehensive Survey for Image Generation and Editing

Sihao Wu, Xiaonan Si, Chi Xing, Jianhong Wang, Gaojie Jin, Guangliang Cheng, Lijun Zhang, Xiaowei Huang

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

2502.07825 2025-02-13 cs.CV cs.AI 62%

Pre-Trained Video Generative Models as World Simulators

Haoran He, Yang Zhang, Liang Lin, Zhongwen Xu, Ling Pan

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

Comments 20 pages

2412.16687 2025-02-11 cs.LG cs.AI 62%

Subgoal Discovery Using a Free Energy Paradigm and State Aggregations

Amirhossein Mesbah, Reshad Hosseini, Seyed Pooya Shariatpanahi, Majid Nili Ahmadabadi

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

2410.16790 2025-02-11 cs.LG cs.RO 62%

Curriculum Reinforcement Learning for Complex Reward Functions

Kilian Freitag, Kristian Ceder, Rita Laezza, Knut Åkesson, Morteza Haghir Chehreghani

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

2502.04418 2025-02-10 cs.LG cs.AI 62%

Autotelic Reinforcement Learning: Exploring Intrinsic Motivations for Skill Acquisition in Open-Ended Environments

Prakhar Srivastava, Jasmeet Singh

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

Comments 12 pages, 12 figures

Journal ref International Journal of Computer Trends and Technology, vol. 73, 2025

2406.15599 2025-02-10 cs.LG cs.AI 62%

Pareto-Optimal Learning from Preferences with Hidden Context

Ryan Bahlous-Boldi, Li Ding, Lee Spector, Scott Niekum

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

2412.05675 2025-02-07 cs.LG cs.RO cs.SY eess.SY 62%

M$^3$PC: Test-time Model Predictive Control for Pretrained Masked Trajectory Model

Kehan Wen, Yutong Hu, Yao Mu, Lei Ke

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

Comments ICLR 2025

2502.02265 2025-02-05 cs.LG cs.AI 62%

Adviser-Actor-Critic: Eliminating Steady-State Error in Reinforcement Learning Control

Donghe Chen, Yubin Peng, Tengjie Zheng, Han Wang, Chaoran Qu, Lin Cheng

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

Comments 13 pages, 9 figures

2502.02133 2025-02-05 eess.SY cs.AI cs.LG cs.SY 62%

Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification

Rudolf Reiter, Jasper Hoffmann, Dirk Reinhardt, Florian Messerer, Katrin Baumgärtner, Shamburaj Sawant, Joschka Boedecker, Moritz Diehl, Sebastien Gros

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

2502.01652 2025-02-05 cs.LG cs.AI 62%

Hybrid Group Relative Policy Optimization: A Multi-Sample Approach to Enhancing Policy Optimization

Soham Sane

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

Comments 11 Pages, 18 Equations, 1 Table

1. 模仿学习与强化学习 4131 篇

Reduce, Reuse, Recycle: Categories for Compositional Reinforcement Learning

MoRE: Unlocking Scalability in Reinforcement Learning for Quadruped Vision-Language-Action Models

Generalizable Imitation Learning Through Pre-Trained Representations

How to Train Your Robots? The Impact of Demonstration Modality on Imitation Learning

Revisiting Early Detection of Sexual Predators via Turn-level Optimization

Multi-Robot Collaboration through Reinforcement Learning and Abstract Simulation

LLM Misalignment via Adversarial RLHF Platforms

FABG : End-to-end Imitation Learning for Embodied Affective Human-Robot Interaction

Differentiable Information Enhanced Model-Based Reinforcement Learning

Ground contact and reaction force sensing for linear policy control of quadruped robot

Kinetix: Investigating the Training of General Agents through Open-Ended Physics-Based Control Tasks

Leveraging Large Language Models for Effective and Explainable Multi-Agent Credit Assignment

An Autonomous Network Orchestration Framework Integrating Large Language Models with Continual Reinforcement Learning

On the Design of Safe Continual RL Methods for Control of Nonlinear Systems

Automating Curriculum Learning for Reinforcement Learning using a Skill-Based Bayesian Network

X-IL: Exploring the Design Space of Imitation Learning Policies

Towards Fusing Point Cloud and Visual Representations for Imitation Learning

Uncertainty Representations in State-Space Layers for Deep Reinforcement Learning under Partial Observability

Causal Information Prioritization for Efficient Reinforcement Learning

Self-Consistent Model-based Adaptation for Visual Reinforcement Learning

Preference Alignment on Diffusion Model: A Comprehensive Survey for Image Generation and Editing

Pre-Trained Video Generative Models as World Simulators

Subgoal Discovery Using a Free Energy Paradigm and State Aggregations

Curriculum Reinforcement Learning for Complex Reward Functions

Autotelic Reinforcement Learning: Exploring Intrinsic Motivations for Skill Acquisition in Open-Ended Environments

Pareto-Optimal Learning from Preferences with Hidden Context

M$^3$PC: Test-time Model Predictive Control for Pretrained Masked Trajectory Model

Adviser-Actor-Critic: Eliminating Steady-State Error in Reinforcement Learning Control

Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification

Hybrid Group Relative Policy Optimization: A Multi-Sample Approach to Enhancing Policy Optimization