机器人 / 具身智能 - arXivDaily 专题

2411.08392 2024-11-14 cs.AI 57%

RLInspect: An Interactive Visual Approach to Assess Reinforcement Learning Algorithm

Geetansh Kalra, Divye Singh, Justin Jose

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

2411.00867 2024-11-05 cs.LG 57%

Mechanistic Interpretability of Reinforcement Learning Agents

Tristan Trim, Triston Grayston

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

2410.23419 2024-11-01 cs.LG 57%

Stepping Out of the Shadows: Reinforcement Learning in Shadow Mode

Philipp Gassert, Matthias Althoff

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

2410.22459 2024-10-31 cs.AI 57%

Predicting Future Actions of Reinforcement Learning Agents

Stephen Chung, Scott Niekum, David Krueger

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

Comments 16 pages, 8 figures

2409.02383 2024-10-29 cs.RO 57%

Reinforcement Learning for Wheeled Mobility on Vertically Challenging Terrain

Tong Xu, Chenhui Pan, Xuesu Xiao

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

2405.13629 2024-10-29 cs.LG 57%

Maximum Entropy Reinforcement Learning via Energy-Based Normalizing Flow

Chen-Hao Chao, Chien Feng, Wei-Fang Sun, Cheng-Kuang Lee, Simon See, Chun-Yi Lee

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

Comments Published at NeurIPS 2024. Code: https://github.com/ChienFeng-hub/meow

2103.10098 2024-10-28 cs.RO 57%

Reward Signal Design for Autonomous Racing

Benjamin Evans, Herman A. Engelbrecht, Hendrik W. Jordaan

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

Comments 6 pages, 10 Figures, This work has been submitted to the IEEE for possible publication

2103.01296 2024-10-28 cs.RO 57%

Learning Multimodal Contact-Rich Skills from Demonstrations Without Reward Engineering

Mythra V. Balakuntala, Upinder Kaur, Xin Ma, Juan Wachs, Richard M. Voyles

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

Comments Accepted at IEEE ICRA 2021. This work has been submitted to the IEEE for possible publication

2403.13093 2024-10-27 cs.MA cs.RO 57%

Graph Neural Network-based Multi-agent Reinforcement Learning for Resilient Distributed Coordination of Multi-Robot Systems

Anthony Goeckner, Yueyuan Sui, Nicolas Martinet, Xinliang Li, Qi Zhu

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

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

2410.17898 2024-10-24 cs.LG cs.MA 57%

Scalable Offline Reinforcement Learning for Mean Field Games

Axel Brunnbauer, Julian Lemmel, Zahra Babaiee, Sophie Neubauer, Radu Grosu

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

Comments Submitted to AAMAS

2409.05289 2024-10-23 cs.RO cs.SY eess.SY 57%

Developing Path Planning with Behavioral Cloning and Proximal Policy Optimization for Path-Tracking and Static Obstacle Nudging

Mingyan Zhou, Biao Wang, Tian Tan, Xiatao Sun

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

Comments 6 pages, 8 figures

2406.02258 2024-10-22 cs.LG stat.ML 57%

Reinforcement Learning with Lookahead Information

Nadav Merlis

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

Comments Accepted to NeurIPS 2024

2312.11084 2024-10-22 cs.RO cs.MA 57%

Multi-Agent Reinforcement Learning for Connected and Automated Vehicles Control: Recent Advancements and Future Prospects

Min Hua, Dong Chen, Xinda Qi, Kun Jiang, Zemin Eitan Liu, Quan Zhou, Hongming Xu

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

2410.10438 2024-10-15 cs.RO 57%

Reinforcement Learning For Quadrupedal Locomotion: Current Advancements And Future Perspectives

Maurya Gurram, Prakash Kumar Uttam, Shantipal S. Ohol

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

Comments 12 pages, 3 figures

2410.04936 2024-10-08 cs.AI 57%

Training Interactive Agent in Large FPS Game Map with Rule-enhanced Reinforcement Learning

Chen Zhang, Huan Hu, Yuan Zhou, Qiyang Cao, Ruochen Liu, Wenya Wei, Elvis S. Liu

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

2410.04719 2024-10-08 cs.RO 57%

Domains as Objectives: Domain-Uncertainty-Aware Policy Optimization through Explicit Multi-Domain Convex Coverage Set Learning

Wendyam Eric Lionel Ilboudo, Taisuke Kobayashi, Takamitsu Matsubara

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

Comments 27 pages, 9 figures, 12 tables, under review by IJRR

2408.06520 2024-10-07 cs.RO cs.CL 57%

Retrieval-Augmented Hierarchical in-Context Reinforcement Learning and Hindsight Modular Reflections for Task Planning with LLMs

Chuanneng Sun, Songjun Huang, Dario Pompili

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

2410.02516 2024-10-04 cs.MA cs.LG 57%

Learning Emergence of Interaction Patterns across Independent RL Agents in Multi-Agent Environments

Vasanth Reddy Baddam, Suat Gumussoy, Almuatazbellah Boker, Hoda Eldardiry

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

Comments 13 pages, 24 figures

2406.03069 2024-10-04 cs.AI 57%

"Give Me an Example Like This": Episodic Active Reinforcement Learning from Demonstrations

Muhan Hou, Koen Hindriks, A. E. Eiben, Kim Baraka

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

2410.01630 2024-10-03 cs.RO 57%

One-Shot Robust Imitation Learning for Long-Horizon Visuomotor Tasks from Unsegmented Demonstrations

Shaokang Wu, Yijin Wang, Yanlong Huang

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

Comments 15 pages, 6 figures

2410.01212 2024-10-03 cs.LG 57%

Absolute State-wise Constrained Policy Optimization: High-Probability State-wise Constraints Satisfaction

Weiye Zhao, Feihan Li, Yifan Sun, Yujie Wang, Rui Chen, Tianhao Wei, Changliu Liu

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

Comments submission to Journal of Machine Learning Research

2310.12831 2024-10-02 cs.RO 57%

PUMA: Deep Metric Imitation Learning for Stable Motion Primitives

Rodrigo Pérez-Dattari, Cosimo Della Santina, Jens Kober

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

Comments 21 pages, 15 figures, 4 tables

2409.19746 2024-10-01 cs.RO 57%

Learning Robust Policies via Interpretable Hamilton-Jacobi Reachability-Guided Disturbances

Hanyang Hu, Xilun Zhang, Xubo Lyu, Mo Chen

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

2409.19190 2024-10-01 cs.RO 57%

RAIL: Reachability-Aided Imitation Learning for Safe Policy Execution

Wonsuhk Jung, Dennis Anthony, Utkarsh A. Mishra, Nadun Ranawaka Arachchige, Matthew Bronars, Danfei Xu, Shreyas Kousik

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

Comments * denotes equal contribution

2409.18000 2024-09-27 cs.LG math.OC 57%

Safe Time-Varying Optimization based on Gaussian Processes with Spatio-Temporal Kernel

Jialin Li, Marta Zagorowska, Giulia De Pasquale, Alisa Rupenyan, John Lygeros

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

Comments Accepted to NeurIPS 2024

2409.17125 2024-09-26 cs.AI 57%

On-orbit Servicing for Spacecraft Collision Avoidance With Autonomous Decision Making

Susmitha Patnala, Adam Abdin

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

Comments The first joint European Space Agency SPAICE Conference / IAA Conference on AI in and for Space

2409.12462 2024-09-23 cond-mat.mtrl-sci cs.HC cs.LG 57%

Unsupervised Reward-Driven Image Segmentation in Automated Scanning Transmission Electron Microscopy Experiments

Kamyar Barakati, Utkarsh Pratiush, Austin C. Houston, Gerd Duscher, Sergei V. Kalinin

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

Comments 17 pages, 6 images

2407.15840 2024-09-12 cs.RO 57%

QueST: Self-Supervised Skill Abstractions for Learning Continuous Control

Atharva Mete, Haotian Xue, Albert Wilcox, Yongxin Chen, Animesh Garg

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

Comments Keywords: Behavior Clonning, Action Quantization, Self Supervised Skill Abstraction, Few-shot Imitation Learning

2307.13272 2024-09-11 cs.RO 57%

Towards Sim2Real Transfer of Autonomy Algorithms using AutoDRIVE Ecosystem

Chinmay Vilas Samak, Tanmay Vilas Samak, Venkat Krovi

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

Comments Accepted at AACC/IFAC Modeling, Estimation and Control Conference (MECC) 2023

Journal ref Elsevier IFAC-PapersOnLine, vol. 56, no. 3, pp. 277-282, 2023

2405.10830 2024-09-04 cs.RO 57%

CTS: Concurrent Teacher-Student Reinforcement Learning for Legged Locomotion

Hongxi Wang, Haoxiang Luo, Wei Zhang, Hua Chen

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

1. 模仿学习与强化学习 4116 篇

RLInspect: An Interactive Visual Approach to Assess Reinforcement Learning Algorithm

Mechanistic Interpretability of Reinforcement Learning Agents

Stepping Out of the Shadows: Reinforcement Learning in Shadow Mode

Predicting Future Actions of Reinforcement Learning Agents

Reinforcement Learning for Wheeled Mobility on Vertically Challenging Terrain

Maximum Entropy Reinforcement Learning via Energy-Based Normalizing Flow

Reward Signal Design for Autonomous Racing

Learning Multimodal Contact-Rich Skills from Demonstrations Without Reward Engineering

Graph Neural Network-based Multi-agent Reinforcement Learning for Resilient Distributed Coordination of Multi-Robot Systems

Scalable Offline Reinforcement Learning for Mean Field Games

Developing Path Planning with Behavioral Cloning and Proximal Policy Optimization for Path-Tracking and Static Obstacle Nudging

Reinforcement Learning with Lookahead Information

Multi-Agent Reinforcement Learning for Connected and Automated Vehicles Control: Recent Advancements and Future Prospects

Reinforcement Learning For Quadrupedal Locomotion: Current Advancements And Future Perspectives

Training Interactive Agent in Large FPS Game Map with Rule-enhanced Reinforcement Learning

Domains as Objectives: Domain-Uncertainty-Aware Policy Optimization through Explicit Multi-Domain Convex Coverage Set Learning

Retrieval-Augmented Hierarchical in-Context Reinforcement Learning and Hindsight Modular Reflections for Task Planning with LLMs

Learning Emergence of Interaction Patterns across Independent RL Agents in Multi-Agent Environments

"Give Me an Example Like This": Episodic Active Reinforcement Learning from Demonstrations

One-Shot Robust Imitation Learning for Long-Horizon Visuomotor Tasks from Unsegmented Demonstrations

Absolute State-wise Constrained Policy Optimization: High-Probability State-wise Constraints Satisfaction

PUMA: Deep Metric Imitation Learning for Stable Motion Primitives

Learning Robust Policies via Interpretable Hamilton-Jacobi Reachability-Guided Disturbances

RAIL: Reachability-Aided Imitation Learning for Safe Policy Execution

Safe Time-Varying Optimization based on Gaussian Processes with Spatio-Temporal Kernel

On-orbit Servicing for Spacecraft Collision Avoidance With Autonomous Decision Making

Unsupervised Reward-Driven Image Segmentation in Automated Scanning Transmission Electron Microscopy Experiments

QueST: Self-Supervised Skill Abstractions for Learning Continuous Control

Towards Sim2Real Transfer of Autonomy Algorithms using AutoDRIVE Ecosystem

CTS: Concurrent Teacher-Student Reinforcement Learning for Legged Locomotion