机器人 / 具身智能 - arXivDaily 专题

2505.19521 2025-06-02 cs.RO cs.LG cs.SY eess.SY 62%

Learning Dynamics under Environmental Constraints via Measurement-Induced Bundle Structures

Dongzhe Zheng, Wenjie Mei

机构 * Dongzhe Zheng ； Wenjie Mei

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

Comments Accepted by ICML 2025

2505.22756 2025-05-30 cs.AI cs.CL cs.LG 62%

Decomposing Elements of Problem Solving: What "Math" Does RL Teach?

Tian Qin, Core Francisco Park, Mujin Kwun, Aaron Walsman, Eran Malach, Nikhil Anand, Hidenori Tanaka, David Alvarez-Melis

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

2505.20621 2025-05-28 cs.LG cs.AI 62%

Multi-level Certified Defense Against Poisoning Attacks in Offline Reinforcement Learning

Shijie Liu, Andrew C. Cullen, Paul Montague, Sarah Erfani, Benjamin I. P. Rubinstein

机构 * School of Computing and Information Systems, University of Melbourne（墨尔本大学计算与信息系统学院）； Defence Science and Technology Group（国防科学与技术集团）

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

2505.20350 2025-05-28 cs.LG cs.AI 62%

Decision Flow Policy Optimization

Jifeng Hu, Sili Huang, Siyuan Guo, Zhaogeng Liu, Li Shen, Lichao Sun, Hechang Chen, Yi Chang, Dacheng Tao

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

2505.19867 2025-05-27 cs.LG cs.AI 62%

Deep Active Inference Agents for Delayed and Long-Horizon Environments

Yavar Taheri Yeganeh, Mohsen Jafari, Andrea Matta

机构 * Politecnico di Milano（米兰理工学院）； Rutgers University（罗切斯特大学）

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

2505.12701 2025-05-20 cs.LG cs.AI 62%

Counterfactual Explanations for Continuous Action Reinforcement Learning

Shuyang Dong, Shangtong Zhang, Lu Feng

机构 * University of Virginia（弗吉尼亚大学）

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

Comments Accepted by International Joint Conference on Artificial Intelligence (IJCAI) 2025

2410.19989 2025-05-16 cs.RO cs.LG 62%

On-Robot Reinforcement Learning with Goal-Contrastive Rewards

Ondrej Biza, Thomas Weng, Lingfeng Sun, Karl Schmeckpeper, Tarik Kelestemur, Yecheng Jason Ma, Robert Platt, Jan-Willem van de Meent, Lawson L. S. Wong

机构 * Robotics and AI Institute（机器人与人工智能研究所）； Northeastern University（东北大学）； Khoury College of Computer Sciences（计算机科学学院）； University of Pennsylvania（宾夕法尼亚大学）； University of Amsterdam（阿姆斯特丹大学）

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

2505.09546 2025-05-15 cs.RO cs.LG 62%

Distilling Realizable Students from Unrealizable Teachers

Yujin Kim, Nathaniel Chin, Arnav Vasudev, Sanjiban Choudhury

机构 * Department of Computer Science, Cornell University（计算机科学系，康奈尔大学）

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

2505.08453 2025-05-14 cs.RO cs.LG 62%

Parameter Estimation using Reinforcement Learning Causal Curiosity: Limits and Challenges

Miguel Arana-Catania, Weisi Guo

机构 * Digital Scholarship at Oxford（牛津大学数字人文中心）； University of Oxford（牛津大学）； Faculty of Engineering and Applied Sciences（工程与应用科学学院）； Cranfield University（克兰菲尔德大学）

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

Comments 24 pages, 10 figures, 9 tables

2505.07911 2025-05-14 cs.LG cs.AI 62%

Combining Bayesian Inference and Reinforcement Learning for Agent Decision Making: A Review

Chengmin Zhou, Ville Kyrki, Pasi Fränti, Laura Ruotsalainen

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

2210.11111 2025-05-13 cs.LG cs.AI cs.SY eess.SY 62%

The Pump Scheduling Problem: A Real-World Scenario for Reinforcement Learning

Henrique Donâncio, Laurent Vercouter, Harald Roclawski

机构 * Normandie Université（诺曼底大学）； INSA Rouen（里昂大学鲁昂分校）； LITIS Rouen（鲁昂LITIS研究所）； Technical University of Kaiserslautern（凯撒斯劳滕技术大学）； SAM Kaiserlaustern（凯撒斯劳滕SAM）

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

2505.06300 2025-05-13 cs.LG cs.AI 62%

ARDNS-FN-Quantum: A Quantum-Enhanced Reinforcement Learning Framework with Cognitive-Inspired Adaptive Exploration for Dynamic Environments

Umberto Gonçalves de Sousa

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

Comments 19 pages, 7 figures

2505.01619 2025-05-06 cs.LG cs.AI 62%

Skill-based Safe Reinforcement Learning with Risk Planning

Hanping Zhang, Yuhong Guo

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

2411.02788 2025-05-01 cs.RO cs.AI 62%

When to Localize? A Risk-Constrained Reinforcement Learning Approach

Chak Lam Shek, Kasra Torshizi, Troi Williams, Pratap Tokekar

机构 * University of Maryland, College Park（马里兰大学学院公园分校）

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

2504.05341 2025-04-28 cs.NE cs.AI cs.LG 62%

Three-Factor Learning in Spiking Neural Networks: An Overview of Methods and Trends from a Machine Learning Perspective

Szymon Mazurek, Jakub Caputa, Jan K. Argasiński, Maciej Wielgosz

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

Comments Pre-print

2502.05996 2025-04-15 cs.RO cs.AI 62%

Motion Control in Multi-Rotor Aerial Robots Using Deep Reinforcement Learning

Gaurav Shetty, Mahya Ramezani, Hamed Habibi, Holger Voos, Jose Luis Sanchez-Lopez

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

2504.06683 2025-04-10 cs.LG cs.AI 62%

Hyperparameter Optimisation with Practical Interpretability and Explanation Methods in Probabilistic Curriculum Learning

Llewyn Salt, Marcus Gallagher

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

2504.03800 2025-04-08 cs.LG cs.AI cs.NE 62%

Decision SpikeFormer: Spike-Driven Transformer for Decision Making

Wei Huang, Qinying Gu, Nanyang Ye

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

Comments This work has been accepted to CVPR 2025

2504.01459 2025-04-03 cs.LG cs.AI 62%

Probabilistic Curriculum Learning for Goal-Based Reinforcement Learning

Llewyn Salt, Marcus Gallagher

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

2504.01336 2025-04-03 cs.RO cs.LG 62%

Inverse RL Scene Dynamics Learning for Nonlinear Predictive Control in Autonomous Vehicles

Sorin Grigorescu, Mihai Zaha

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

Comments 21 pages, 14 figures, journal paper

Journal ref IEEE Transactions on Neural Networks and Learning Systems, 2025

2503.18816 2025-03-31 cs.RO cs.AI 62%

Learning Multi-Robot Coordination through Locality-Based Factorized Multi-Agent Actor-Critic Algorithm

Chak Lam Shek, Amrit Singh Bedi, Anjon Basak, Ellen Novoseller, Nick Waytowich, Priya Narayanan, Dinesh Manocha, Pratap Tokekar

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

2503.20613 2025-03-27 cs.LG cs.AI cs.NI cs.SY eess.SY 62%

State-Aware Perturbation Optimization for Robust Deep Reinforcement Learning

Zongyuan Zhang, Tianyang Duan, Zheng Lin, Dong Huang, Zihan Fang, Zekai Sun, Ling Xiong, Hongbin Liang, Heming Cui, Yong Cui

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

Comments 15 pages, 11 figures

2503.20078 2025-03-27 cs.LG cs.AI cs.MA 62%

Abstracting Geo-specific Terrains to Scale Up Reinforcement Learning

Volkan Ustun, Soham Hans, Rajay Kumar, Yunzhe Wang

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

Comments 10 pages, 6 figures, 2024 Interservice/Industry Training, Simulation, and Education Conference (I/ITSEC)

2503.19007 2025-03-26 cs.LG cs.AI 62%

Option Discovery Using LLM-guided Semantic Hierarchical Reinforcement Learning

Chak Lam Shek, Pratap Tokekar

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

2503.17432 2025-03-25 eess.SY cs.LG cs.RO cs.SY 62%

TamedPUMA: safe and stable imitation learning with geometric fabrics

Saray Bakker, Rodrigo Pérez-Dattari, Cosimo Della Santina, Wendelin Böhmer, Javier Alonso-Mora

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

Comments 14 pages (10+4), 1+3*5 figures, 1 table, preprint version of accepted paper at L4DC 2025

2302.05614 2025-03-25 cs.LG cs.AI 62%

Cross-domain Random Pre-training with Prototypes for Reinforcement Learning

Xin Liu, Yaran Chen, Haoran Li, Boyu Li, Dongbin Zhao

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

Comments This work has been submitted to the IEEE for possible publication

2409.12092 2025-03-19 cs.RO cs.AI 62%

IMRL: Integrating Visual, Physical, Temporal, and Geometric Representations for Enhanced Food Acquisition

Rui Liu, Zahiruddin Mahammad, Amisha Bhaskar, Pratap Tokekar

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

2503.13171 2025-03-18 cs.RO cs.AI 62%

HybridGen: VLM-Guided Hybrid Planning for Scalable Data Generation of Imitation Learning

Wensheng Wang, Ning Tan

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

2410.09536 2025-03-18 cs.LG cs.RO 62%

TOP-ERL: Transformer-based Off-Policy Episodic Reinforcement Learning

Ge Li, Dong Tian, Hongyi Zhou, Xinkai Jiang, 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

Comments Accepted as a Spotlight at ICLR 2025

Journal ref The Thirteenth International Conference on Learning Representations (ICLR) 2025

2503.11467 2025-03-17 cs.RO cs.LG 62%

Dynamic Obstacle Avoidance with Bounded Rationality Adversarial Reinforcement Learning

Jose-Luis Holgado-Alvarez, Aryaman Reddi, Carlo D'Eramo

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

1. 模仿学习与强化学习 4131 篇

Learning Dynamics under Environmental Constraints via Measurement-Induced Bundle Structures

Decomposing Elements of Problem Solving: What "Math" Does RL Teach?

Multi-level Certified Defense Against Poisoning Attacks in Offline Reinforcement Learning

Decision Flow Policy Optimization

Deep Active Inference Agents for Delayed and Long-Horizon Environments

Counterfactual Explanations for Continuous Action Reinforcement Learning

On-Robot Reinforcement Learning with Goal-Contrastive Rewards

Distilling Realizable Students from Unrealizable Teachers

Parameter Estimation using Reinforcement Learning Causal Curiosity: Limits and Challenges

Combining Bayesian Inference and Reinforcement Learning for Agent Decision Making: A Review

The Pump Scheduling Problem: A Real-World Scenario for Reinforcement Learning

ARDNS-FN-Quantum: A Quantum-Enhanced Reinforcement Learning Framework with Cognitive-Inspired Adaptive Exploration for Dynamic Environments

Skill-based Safe Reinforcement Learning with Risk Planning

When to Localize? A Risk-Constrained Reinforcement Learning Approach

Three-Factor Learning in Spiking Neural Networks: An Overview of Methods and Trends from a Machine Learning Perspective

Motion Control in Multi-Rotor Aerial Robots Using Deep Reinforcement Learning

Hyperparameter Optimisation with Practical Interpretability and Explanation Methods in Probabilistic Curriculum Learning

Decision SpikeFormer: Spike-Driven Transformer for Decision Making

Probabilistic Curriculum Learning for Goal-Based Reinforcement Learning

Inverse RL Scene Dynamics Learning for Nonlinear Predictive Control in Autonomous Vehicles

Learning Multi-Robot Coordination through Locality-Based Factorized Multi-Agent Actor-Critic Algorithm

State-Aware Perturbation Optimization for Robust Deep Reinforcement Learning

Abstracting Geo-specific Terrains to Scale Up Reinforcement Learning

Option Discovery Using LLM-guided Semantic Hierarchical Reinforcement Learning

TamedPUMA: safe and stable imitation learning with geometric fabrics

Cross-domain Random Pre-training with Prototypes for Reinforcement Learning

IMRL: Integrating Visual, Physical, Temporal, and Geometric Representations for Enhanced Food Acquisition

HybridGen: VLM-Guided Hybrid Planning for Scalable Data Generation of Imitation Learning

TOP-ERL: Transformer-based Off-Policy Episodic Reinforcement Learning

Dynamic Obstacle Avoidance with Bounded Rationality Adversarial Reinforcement Learning