机器人 / 具身智能 - arXivDaily 专题

2404.08093 2024-12-05 cs.RO cs.AI cs.LG 67%

Towards a Robust Soft Baby Robot With Rich Interaction Ability for Advanced Machine Learning Algorithms

Mohannad Alhakami, Dylan R. Ashley, Joel Dunham, Yanning Dai, Francesco Faccio, Eric Feron, Jürgen Schmidhuber

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

Comments 6 pages in main text + 2 pages of references, 8 figures in main text, 1 table in main text; source code available at https://github.com/dylanashley/robot-limb-testai

2404.17687 2024-11-22 cs.LG cs.AI cs.RO 67%

Knowledge Transfer for Cross-Domain Reinforcement Learning: A Systematic Review

Sergio A. Serrano, Jose Martinez-Carranza, L. Enrique Sucar

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

Journal ref IEEE Access, Volume 12, 2024, Pages 114552-114572

2404.00282 2024-11-21 cs.LG cs.AI cs.CL cs.RO 67%

Survey on Large Language Model-Enhanced Reinforcement Learning: Concept, Taxonomy, and Methods

Yuji Cao, Huan Zhao, Yuheng Cheng, Ting Shu, Yue Chen, Guolong Liu, Gaoqi Liang, Junhua Zhao, Jinyue Yan, Yun Li

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

Comments 22 pages (including bibliography), 6 figures

2411.11616 2024-11-20 cs.RO cs.AI cs.LG cs.MA 67%

Signaling and Social Learning in Swarms of Robots

Leo Cazenille, Maxime Toquebiau, Nicolas Lobato-Dauzier, Alessia Loi, Loona Macabre, Nathanael Aubert-Kato, Anthony Genot, Nicolas Bredeche

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

Comments 17 pages, 3 Figures

2410.23254 2024-10-31 cs.RO cs.AI cs.CV 67%

Keypoint Abstraction using Large Models for Object-Relative Imitation Learning

Xiaolin Fang, Bo-Ruei Huang, Jiayuan Mao, Jasmine Shone, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling

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

Comments CoRL LangRob Workshop, 2024

2406.07877 2024-10-28 cs.RO cs.AI cs.LG 67%

Hierarchical Reinforcement Learning for Swarm Confrontation with High Uncertainty

Qizhen Wu, Kexin Liu, Lei Chen, Jinhu Lü

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

2309.02473 2024-10-28 cs.LG cs.AI cs.RO stat.ML 67%

A Survey of Imitation Learning: Algorithms, Recent Developments, and Challenges

Maryam Zare, Parham M. Kebria, Abbas Khosravi, Saeid Nahavandi

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

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

2407.15815 2024-10-24 cs.RO cs.AI cs.CV 67%

Learning to Manipulate Anywhere: A Visual Generalizable Framework For Reinforcement Learning

Zhecheng Yuan, Tianming Wei, Shuiqi Cheng, Gu Zhang, Yuanpei Chen, Huazhe Xu

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

Comments Webpage: https://gemcollector.github.io/maniwhere/

2410.12232 2024-10-17 cs.RO cs.AI cs.LG 67%

Improving the Generalization of Unseen Crowd Behaviors for Reinforcement Learning based Local Motion Planners

Wen Zheng Terence Ng, Jianda Chen, Sinno Jialin Pan, Tianwei Zhang

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

2403.19918 2024-10-16 cs.RO cs.AI cs.LG 67%

CtRL-Sim: Reactive and Controllable Driving Agents with Offline Reinforcement Learning

Luke Rowe, Roger Girgis, Anthony Gosselin, Bruno Carrez, Florian Golemo, Felix Heide, Liam Paull, Christopher Pal

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

Comments CoRL 2024

2310.04590 2024-10-01 cs.RO cs.AI cs.LG cs.SY eess.SY 67%

Deep Model Predictive Optimization

Jacob Sacks, Rwik Rana, Kevin Huang, Alex Spitzer, Guanya Shi, Byron Boots

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

Comments Main paper is 6 pages with 4 figures and 1 table. Code available at: https://github.com/jisacks/dmpo

2305.13681 2024-09-25 cs.LG cs.AI cs.RO 67%

GUARD: A Safe Reinforcement Learning Benchmark

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

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

Comments Published in Transaction of Machine Learning Research

2406.17768 2024-09-20 cs.RO cs.AI cs.LG 67%

EXTRACT: Efficient Policy Learning by Extracting Transferable Robot Skills from Offline Data

Jesse Zhang, Minho Heo, Zuxin Liu, Erdem Biyik, Joseph J Lim, Yao Liu, Rasool Fakoor

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

Comments 25 pages, 16 figures

Journal ref CoRL 2024

2405.11784 2024-09-16 cs.LG cs.AI cs.RO 67%

Reward-Punishment Reinforcement Learning with Maximum Entropy

Jiexin Wang, Eiji Uchibe

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

Comments IJCNN2024

2305.02128 2024-09-11 cs.MA cs.AI cs.LG cs.RO 67%

System Neural Diversity: Measuring Behavioral Heterogeneity in Multi-Agent Learning

Matteo Bettini, Ajay Shankar, Amanda Prorok

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

2302.04823 2024-09-06 cs.LG cs.AI cs.RO 67%

Hierarchical Generative Adversarial Imitation Learning with Mid-level Input Generation for Autonomous Driving on Urban Environments

Gustavo Claudio Karl Couto, Eric Aislan Antonelo

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

2408.10075 2024-08-20 cs.LG cs.AI cs.CL cs.RO 67%

Personalizing Reinforcement Learning from Human Feedback with Variational Preference Learning

Sriyash Poddar, Yanming Wan, Hamish Ivison, Abhishek Gupta, Natasha Jaques

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

Comments weirdlabuw.github.io/vpl

2405.15019 2024-08-19 cs.RO cs.AI cs.LG 67%

Agentic Skill Discovery

Xufeng Zhao, Cornelius Weber, Stefan Wermter

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

Comments Webpage see https://agentic-skill-discovery.github.io/

2408.07962 2024-08-16 cs.LG cs.AI cs.RO cs.SY eess.SY 67%

Meta SAC-Lag: Towards Deployable Safe Reinforcement Learning via MetaGradient-based Hyperparameter Tuning

Homayoun Honari, Amir Mehdi Soufi Enayati, Mehran Ghafarian Tamizi, Homayoun Najjaran

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

Comments Main text accepted to the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2024, 10 pages, 4 figures, 3 tables

2404.09857 2024-07-23 cs.CV cs.AI cs.RO 67%

Empowering Embodied Visual Tracking with Visual Foundation Models and Offline RL

Fangwei Zhong, Kui Wu, Hai Ci, Churan Wang, Hao Chen

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 ECCV 2024

2306.06871 2024-07-23 cs.LG cs.AI cs.RO 67%

ENOTO: Improving Offline-to-Online Reinforcement Learning with Q-Ensembles

Kai Zhao, Jianye Hao, Yi Ma, Jinyi Liu, Yan Zheng, Zhaopeng Meng

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

2312.00592 2024-07-03 cs.LG cs.CV cs.RO 67%

Tracking Object Positions in Reinforcement Learning: A Metric for Keypoint Detection (extended version)

Emma Cramer, Jonas Reiher, Sebastian Trimpe

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

Comments 19 pages, 12 figures

2407.01333 2024-07-02 cs.AI cs.LG cs.RO 67%

Deep Reinforcement Learning for Adverse Garage Scenario Generation

Kai Li

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

Comments 14 pages, 17 figures

2406.12563 2024-06-19 cs.LG cs.CV cs.RO 67%

A Super-human Vision-based Reinforcement Learning Agent for Autonomous Racing in Gran Turismo

Miguel Vasco, Takuma Seno, Kenta Kawamoto, Kaushik Subramanian, Peter R. Wurman, Peter Stone

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

Comments Accepted at the Reinforcement Learning Conference (RLC) 2024

2402.03681 2024-06-18 cs.RO cs.AI cs.LG 67%

RL-VLM-F: Reinforcement Learning from Vision Language Foundation Model Feedback

Yufei Wang, Zhanyi Sun, Jesse Zhang, Zhou Xian, Erdem Biyik, David Held, Zackory Erickson

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

Comments ICML 2024

2306.03360 2024-06-06 cs.LG cs.AI cs.RO 67%

Model-Based Reinforcement Learning with Multi-Task Offline Pretraining

Minting Pan, Yitao Zheng, Yunbo Wang, Xiaokang Yang

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

2406.00518 2024-06-04 cs.RO cs.AI cs.LG 67%

Learning to Play Air Hockey with Model-Based Deep Reinforcement Learning

Andrej Orsula

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

Comments Robot Air Hockey Challenge 2023 | The source code is available at https://github.com/AndrejOrsula/drl_air_hockey

2309.15293 2024-05-28 cs.LG cond-mat.stat-mech cs.AI cs.RO 67%

Maximum diffusion reinforcement learning

Thomas A. Berrueta, Allison Pinosky, Todd D. Murphey

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

Comments The PDF file contains the collated main text and supplementary information. For supplementary movies, see https://www.youtube.com/playlist?list=PLO5AGPa3klrCTSO-t7HZsVNQinHXFQmn9

2402.02651 2024-05-24 cs.LG cs.AI cs.CV 67%

Vision-Language Models Provide Promptable Representations for Reinforcement Learning

William Chen, Oier Mees, Aviral Kumar, Sergey Levine

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

2405.03379 2024-05-07 cs.LG cs.AI cs.RO 67%

Reverse Forward Curriculum Learning for Extreme Sample and Demonstration Efficiency in Reinforcement Learning

Stone Tao, Arth Shukla, Tse-kai Chan, Hao Su

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

Comments Accepted at The Twelfth International Conference on Learning Representations (ICLR 2024). Website: https://reverseforward-cl.github.io/

1. 模仿学习与强化学习 4124 篇

Towards a Robust Soft Baby Robot With Rich Interaction Ability for Advanced Machine Learning Algorithms

Knowledge Transfer for Cross-Domain Reinforcement Learning: A Systematic Review

Survey on Large Language Model-Enhanced Reinforcement Learning: Concept, Taxonomy, and Methods

Signaling and Social Learning in Swarms of Robots

Keypoint Abstraction using Large Models for Object-Relative Imitation Learning

Hierarchical Reinforcement Learning for Swarm Confrontation with High Uncertainty

A Survey of Imitation Learning: Algorithms, Recent Developments, and Challenges

Learning to Manipulate Anywhere: A Visual Generalizable Framework For Reinforcement Learning

Improving the Generalization of Unseen Crowd Behaviors for Reinforcement Learning based Local Motion Planners

CtRL-Sim: Reactive and Controllable Driving Agents with Offline Reinforcement Learning

Deep Model Predictive Optimization

GUARD: A Safe Reinforcement Learning Benchmark

EXTRACT: Efficient Policy Learning by Extracting Transferable Robot Skills from Offline Data

Reward-Punishment Reinforcement Learning with Maximum Entropy

System Neural Diversity: Measuring Behavioral Heterogeneity in Multi-Agent Learning

Hierarchical Generative Adversarial Imitation Learning with Mid-level Input Generation for Autonomous Driving on Urban Environments

Personalizing Reinforcement Learning from Human Feedback with Variational Preference Learning

Agentic Skill Discovery

Meta SAC-Lag: Towards Deployable Safe Reinforcement Learning via MetaGradient-based Hyperparameter Tuning

Empowering Embodied Visual Tracking with Visual Foundation Models and Offline RL

ENOTO: Improving Offline-to-Online Reinforcement Learning with Q-Ensembles

Tracking Object Positions in Reinforcement Learning: A Metric for Keypoint Detection (extended version)

Deep Reinforcement Learning for Adverse Garage Scenario Generation

A Super-human Vision-based Reinforcement Learning Agent for Autonomous Racing in Gran Turismo

RL-VLM-F: Reinforcement Learning from Vision Language Foundation Model Feedback

Model-Based Reinforcement Learning with Multi-Task Offline Pretraining

Learning to Play Air Hockey with Model-Based Deep Reinforcement Learning

Maximum diffusion reinforcement learning

Vision-Language Models Provide Promptable Representations for Reinforcement Learning

Reverse Forward Curriculum Learning for Extreme Sample and Demonstration Efficiency in Reinforcement Learning