机器人 / 具身智能 - arXivDaily 专题

2401.07181 2024-01-17 cs.LG 57%

Reinforcement Learning from LLM Feedback to Counteract Goal Misgeneralization

Houda Nait El Barj, Theophile Sautory

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

2401.01481 2024-01-04 cs.RO cs.MA 57%

Optimizing UAV-UGV Coalition Operations: A Hybrid Clustering and Multi-Agent Reinforcement Learning Approach for Path Planning in Obstructed Environment

Shamyo Brotee, Farhan Kabir, Md. Abdur Razzaque, Palash Roy, Md. Mamun-Or-Rashid, Md. Rafiul Hassan, Mohammad Mehedi Hassan

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

2211.15542 2024-01-03 cs.LG 57%

Autonomous Assessment of Demonstration Sufficiency via Bayesian Inverse Reinforcement Learning

Tu Trinh, Haoyu Chen, Daniel S. Brown

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

Comments Prior version appears in proceedings of AAAI FSS-22 Symposium "Lessons Learned for Autonomous Assessment of Machine Abilities (LLAAMA)". Current version appears in proceedings of HRI '24, March 11-14, 2024, Boulder, CO, USA

2312.15127 2023-12-27 cs.LG 57%

Gradient Shaping for Multi-Constraint Safe Reinforcement Learning

Yihang Yao, Zuxin Liu, Zhepeng Cen, Peide Huang, Tingnan Zhang, Wenhao Yu, Ding Zhao

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

2312.11374 2023-12-19 cs.RO 57%

Mastering Stacking of Diverse Shapes with Large-Scale Iterative Reinforcement Learning on Real Robots

Thomas Lampe, Abbas Abdolmaleki, Sarah Bechtle, Sandy H. Huang, Jost Tobias Springenberg, Michael Bloesch, Oliver Groth, Roland Hafner, Tim Hertweck, Michael Neunert, Markus Wulfmeier, Jingwei Zhang, Francesco Nori, Nicolas Heess, Martin Riedmiller

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

2312.05787 2023-12-12 cs.LG 57%

Efficient Sparse-Reward Goal-Conditioned Reinforcement Learning with a High Replay Ratio and Regularization

Takuya Hiraoka

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

Comments Source code: https://github.com/TakuyaHiraoka/Efficient-SRGC-RL-with-a-High-RR-and-Regularization Demo video: https://drive.google.com/file/d/1UHd7JVPCwFLNFhy1QcycQfwU_nll_yII/view?usp=drive_link

2312.05465 2023-12-12 cs.LG cs.SY eess.SY 57%

On Task-Relevant Loss Functions in Meta-Reinforcement Learning and Online LQR

Jaeuk Shin, Giho Kim, Howon Lee, Joonho Han, Insoon Yang

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

2007.00245 2023-12-11 cs.RO 57%

Fighting Failures with FIRE: Failure Identification to Reduce Expert Burden in Intervention-Based Learning

Trevor Ablett, Filip Marić, Jonathan Kelly

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

Comments Technical Report STARS-2020-001, University of Toronto Institute for Aerospace Studies (14 pages, 7 figures)

2306.02551 2023-12-08 cs.RO 57%

Conformal Predictive Safety Filter for RL Controllers in Dynamic Environments

Kegan J. Strawn, Nora Ayanian, Lars Lindemann

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

2311.16838 2023-11-29 cs.RO 57%

Increasing Transparency of Reinforcement Learning using Shielding for Human Preferences and Explanations

Georgios Angelopoulos, Luigi Mangiacapra, Alessandra Rossi, Claudia Di Napoli, Silvia Rossi

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

2305.15363 2023-11-28 cs.LG 57%

Inverse Preference Learning: Preference-based RL without a Reward Function

Joey Hejna, Dorsa Sadigh

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

Comments Updated for NeurIPS 2023 Acceptance

2311.13714 2023-11-27 cs.RO cs.MA cs.SY eess.SY math.OC 57%

Learning Safe Control for Multi-Robot Systems: Methods, Verification, and Open Challenges

Kunal Garg, Songyuan Zhang, Oswin So, Charles Dawson, Chuchu Fan

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

Comments Submitted to Annual Reviews in Control

2212.08131 2023-11-23 cs.LG 57%

Bridging the Gap Between Offline and Online Reinforcement Learning Evaluation Methodologies

Shivakanth Sujit, Pedro H. M. Braga, Jorg Bornschein, Samira Ebrahimi Kahou

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

Comments TMLR 2023

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

1. 模仿学习与强化学习 4116 篇

Reinforcement Learning from LLM Feedback to Counteract Goal Misgeneralization

Optimizing UAV-UGV Coalition Operations: A Hybrid Clustering and Multi-Agent Reinforcement Learning Approach for Path Planning in Obstructed Environment

Autonomous Assessment of Demonstration Sufficiency via Bayesian Inverse Reinforcement Learning

Gradient Shaping for Multi-Constraint Safe Reinforcement Learning

Mastering Stacking of Diverse Shapes with Large-Scale Iterative Reinforcement Learning on Real Robots

Efficient Sparse-Reward Goal-Conditioned Reinforcement Learning with a High Replay Ratio and Regularization

On Task-Relevant Loss Functions in Meta-Reinforcement Learning and Online LQR

Fighting Failures with FIRE: Failure Identification to Reduce Expert Burden in Intervention-Based Learning

Conformal Predictive Safety Filter for RL Controllers in Dynamic Environments

Increasing Transparency of Reinforcement Learning using Shielding for Human Preferences and Explanations

Inverse Preference Learning: Preference-based RL without a Reward Function

Learning Safe Control for Multi-Robot Systems: Methods, Verification, and Open Challenges

Bridging the Gap Between Offline and Online Reinforcement Learning Evaluation Methodologies

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