机器人 / 具身智能 - arXivDaily 专题

2311.02994 2023-11-07 cs.MA cs.NE cs.RO 57%

Evolution of Collective Decision-Making Mechanisms for Collective Perception

Tanja Katharina Kaiser, Tristan Potten, Heiko Hamann

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

Comments 2023 IEEE Congress on Evolutionary Computation (CEC), Chicago, IL, USA

2306.17237 2023-11-07 cs.RO 57%

HYDRA: Hybrid Robot Actions for Imitation Learning

Suneel Belkhale, Yuchen Cui, Dorsa Sadigh

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

2311.01728 2023-11-06 cs.RO 57%

RDE: A Hybrid Policy Framework for Multi-Agent Path Finding Problem

Jianqi Gao, Yanjie Li, Xiaoqing Yang, Mingshan Tan

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

2311.01642 2023-11-06 cs.LG 57%

Robust Adversarial Reinforcement Learning via Bounded Rationality Curricula

Aryaman Reddi, Maximilian Tölle, Jan Peters, Georgia Chalvatzaki, Carlo D'Eramo

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

Comments Under review

2310.19468 2023-10-31 cs.LG cs.MA stat.ML 57%

Regret-Minimization Algorithms for Multi-Agent Cooperative Learning Systems

Jialin Yi

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

Comments Thesis submitted to London School of Economics and Political Science for PhD in Statistics

2305.15113 2023-10-31 cs.AI 57%

A Mini Review on the utilization of Reinforcement Learning with OPC UA

Simon Schindler, Martin Uray, Stefan Huber

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

Comments preprint of Paper submitted to INDIN'23

2307.07907 2023-10-27 cs.LG 57%

Seeing is not Believing: Robust Reinforcement Learning against Spurious Correlation

Wenhao Ding, Laixi Shi, Yuejie Chi, Ding Zhao

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

Comments Accepted to NeurIPS 2023

2310.16326 2023-10-26 cs.GT cs.LG 57%

Reinforcement Learning for SBM Graphon Games with Re-Sampling

Peihan Huo, Oscar Peralta, Junyu Guo, Qiaomin Xie, Andreea Minca

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

2310.09629 2023-10-17 cs.RO 57%

Adaptive Online Replanning with Diffusion Models

Siyuan Zhou, Yilun Du, Shun Zhang, Mengdi Xu, Yikang Shen, Wei Xiao, Dit-Yan Yeung, Chuang Gan

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

2310.06710 2023-10-11 cs.LG 57%

Zero-Shot Transfer in Imitation Learning

Alvaro Cauderan, Gauthier Boeshertz, Florian Schwarb, Calvin Zhang

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

2310.06606 2023-10-11 cs.RO 57%

SYNLOCO: Synthesizing Central Pattern Generator and Reinforcement Learning for Quadruped Locomotion

Xinyu Zhang, Zhiyuan Xiao, Qingrui Zhang, Wei Pan

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

Comments 7 Pages

2307.11638 2023-10-06 cs.CV eess.IV 57%

Deep Reinforcement Learning Based System for Intraoperative Hyperspectral Video Autofocusing

Charlie Budd, Jianrong Qiu, Oscar MacCormac, Martin Huber, Christopher Mower, Mirek Janatka, Théo Trotouin, Jonathan Shapey, Mads S. Bergholt, Tom Vercauteren

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

Comments To be presented at MICCAI 2023

2301.11147 2023-10-03 cs.LG 57%

Train Hard, Fight Easy: Robust Meta Reinforcement Learning

Ido Greenberg, Shie Mannor, Gal Chechik, Eli Meirom

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

Comments NeurIPS 2023

2309.15603 2023-09-28 cs.LG 57%

Distill Knowledge in Multi-task Reinforcement Learning with Optimal-Transport Regularization

Bang Giang Le, Viet Cuong Ta

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

Comments 6 pages,

Journal ref 2022 14th International Conference on Knowledge and Systems Engineering (KSE), Nha Trang, Vietnam, 2022, pp. 1-6,

2209.12758 2023-09-28 cs.LG cs.CL 57%

Overcoming Referential Ambiguity in Language-Guided Goal-Conditioned Reinforcement Learning

Hugo Caselles-Dupré, Olivier Sigaud, Mohamed Chetouani

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

Comments NeurIPS 2022 Workshop

2309.13753 2023-09-26 cs.RO cs.SY eess.SY 57%

Policy Stitching: Learning Transferable Robot Policies

Pingcheng Jian, Easop Lee, Zachary Bell, Michael M. Zavlanos, Boyuan Chen

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

Comments CoRL 2023

2303.03339 2023-09-26 cs.RO 57%

Reducing Safety Interventions in Provably Safe Reinforcement Learning

Jakob Thumm, Guillaume Pelat, Matthias Althoff

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

Comments 8 pages, 6 figures

2309.12841 2023-09-25 cs.LG 57%

Reward Function Design for Crowd Simulation via Reinforcement Learning

Ariel Kwiatkowski, Vicky Kalogeiton, Julien Pettré, Marie-Paule Cani

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

2309.11907 2023-09-22 cs.AI 57%

Learning to Recover for Safe Reinforcement Learning

Haoyu Wang, Xin Yuan, Qinqing Ren

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

2309.11753 2023-09-22 cs.AI 57%

Improve the efficiency of deep reinforcement learning through semantic exploration guided by natural language

Zhourui Guo, Meng Yao, Yang Yu, Qiyue Yin

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

2309.08988 2023-09-19 cs.RO 57%

Multi-objective tuning for torque PD controllers of cobots

Diego Navarro-Cabrera, Niceto R. Luque, Eduardo Ros

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

Comments Accepted for presentation at the CPS workshop 2023

2303.01388 2023-09-19 cs.LG 57%

Reinforced Labels: Multi-Agent Deep Reinforcement Learning for Point-Feature Label Placement

Petr Bobák, Ladislav Čmolík, Martin Čadík

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

2309.06021 2023-09-13 cs.LG cs.MA eess.SP 57%

Emergent Communication in Multi-Agent Reinforcement Learning for Future Wireless Networks

Marwa Chafii, Salmane Naoumi, Reda Alami, Ebtesam Almazrouei, Mehdi Bennis, Merouane Debbah

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

2309.05622 2023-09-12 cs.RO cs.SY eess.SY 57%

Task-Oriented Cross-System Design for Timely and Accurate Modeling in the Metaverse

Zhen Meng, Kan Chen, Yufeng Diao, Changyang She, Guodong Zhao, Muhammad Ali Imran, Branka Vucetic

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

Comments This paper is accepted by IEEE Journal on Selected Areas in Communications, JSAC-SI-HCM 2024

2303.03787 2023-09-12 cs.LG 57%

Sample-efficient Real-time Planning with Curiosity Cross-Entropy Method and Contrastive Learning

Mostafa Kotb, Cornelius Weber, Stefan Wermter

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

Comments 7 pages, 4 figures

2309.03651 2023-09-08 cs.AI 57%

Learning of Generalizable and Interpretable Knowledge in Grid-Based Reinforcement Learning Environments

Manuel Eberhardinger, Johannes Maucher, Setareh Maghsudi

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

Comments to be published in AIIDE 2023

2307.06007 2023-09-06 cs.HC cs.RO 57%

Building Persuasive Robots with Social Power Strategies

Mojgan Hashemian, Marta Couto, Samuel Mascarenhas, Ana Paiva, Pedro A. Santos, Rui Prada

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

2308.16767 2023-09-01 cs.RO 57%

Reinforcement learning for safety-critical control of an automated vehicle

Florian Thaler, Franz Rammerstorfer, Jon Ander Gomez, Raul Garcia Crespo, Leticia Pasqual, Markus Postl

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

2308.12624 2023-08-25 q-bio.PE cs.MA cs.NE cs.RO physics.bio-ph 57%

Predator-prey survival pressure is sufficient to evolve swarming behaviors

Jianan Li, Liang Li, Shiyu Zhao

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

2305.12411 2023-08-22 cs.CV 57%

Synthesizing Diverse Human Motions in 3D Indoor Scenes

Kaifeng Zhao, Yan Zhang, Shaofei Wang, Thabo Beeler, Siyu Tang

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

1. 模仿学习与强化学习 4134 篇

Evolution of Collective Decision-Making Mechanisms for Collective Perception

HYDRA: Hybrid Robot Actions for Imitation Learning

RDE: A Hybrid Policy Framework for Multi-Agent Path Finding Problem

Robust Adversarial Reinforcement Learning via Bounded Rationality Curricula

Regret-Minimization Algorithms for Multi-Agent Cooperative Learning Systems

A Mini Review on the utilization of Reinforcement Learning with OPC UA

Seeing is not Believing: Robust Reinforcement Learning against Spurious Correlation

Reinforcement Learning for SBM Graphon Games with Re-Sampling

Adaptive Online Replanning with Diffusion Models

Zero-Shot Transfer in Imitation Learning

SYNLOCO: Synthesizing Central Pattern Generator and Reinforcement Learning for Quadruped Locomotion

Deep Reinforcement Learning Based System for Intraoperative Hyperspectral Video Autofocusing

Train Hard, Fight Easy: Robust Meta Reinforcement Learning

Distill Knowledge in Multi-task Reinforcement Learning with Optimal-Transport Regularization

Overcoming Referential Ambiguity in Language-Guided Goal-Conditioned Reinforcement Learning

Policy Stitching: Learning Transferable Robot Policies

Reducing Safety Interventions in Provably Safe Reinforcement Learning

Reward Function Design for Crowd Simulation via Reinforcement Learning

Learning to Recover for Safe Reinforcement Learning

Improve the efficiency of deep reinforcement learning through semantic exploration guided by natural language

Multi-objective tuning for torque PD controllers of cobots

Reinforced Labels: Multi-Agent Deep Reinforcement Learning for Point-Feature Label Placement

Emergent Communication in Multi-Agent Reinforcement Learning for Future Wireless Networks

Task-Oriented Cross-System Design for Timely and Accurate Modeling in the Metaverse

Sample-efficient Real-time Planning with Curiosity Cross-Entropy Method and Contrastive Learning

Learning of Generalizable and Interpretable Knowledge in Grid-Based Reinforcement Learning Environments

Building Persuasive Robots with Social Power Strategies

Reinforcement learning for safety-critical control of an automated vehicle

Predator-prey survival pressure is sufficient to evolve swarming behaviors

Synthesizing Diverse Human Motions in 3D Indoor Scenes