机器人 / 具身智能 - arXivDaily 专题

2502.12486 2025-05-29 cs.CL 50%

EPO: Explicit Policy Optimization for Strategic Reasoning in LLMs via Reinforcement Learning

Xiaoqian Liu, Ke Wang, Yongbin Li, Yuchuan Wu, Wentao Ma, Aobo Kong, Fei Huang, Jianbin Jiao, Junge Zhang

机构 * University of Chinese Academy of Sciences（中国科学院大学）； Tongyi Lab（通义实验室）； The Key Laboratory of Cognition and Decision Intelligence for Complex Systems, Institute of Automation, Chinese Academy of Sciences（复杂系统认知与决策智能重点实验室，中国科学院自动化研究所）

专题命中模仿学习与强化学习：navigation(abstract)

Comments ACL2025 main

2505.07257 2025-05-13 cs.IR 50%

DARLR: Dual-Agent Offline Reinforcement Learning for Recommender Systems with Dynamic Reward

Yi Zhang, Ruihong Qiu, Xuwei Xu, Jiajun Liu, Sen Wang

专题命中模仿学习与强化学习：world model(abstract)

Comments SIGIR 2025

2503.23290 2025-04-01 cs.NI 50%

Efficient Twin Migration in Vehicular Metaverses: Multi-Agent Split Deep Reinforcement Learning with Spatio-Temporal Trajectory Generation

Junlong Chen, Jiawen Kang, Minrui Xu, Fan Wu, Hongliang Zhang, Huawei Huang, Dusit Niyato, Shiwen Mao

专题命中模仿学习与强化学习：navigation(abstract)

2503.10395 2025-03-14 physics.ins-det 50%

Optical stabilization for laser communication satellite systems through proportional-integral-derivative (PID) control and reinforcement learning approach

A. Reutov, S. Vorobey, A. Katanskiy, V. Balakirev, R. Bakhshaliev, K. Barbyshev, V. Merzlinkin, V. Tekaev

专题命中模仿学习与强化学习：navigation(abstract)

2503.00385 2025-03-04 eess.SY cs.SY 50%

Model-Agnostic Meta-Policy Optimization via Zeroth-Order Estimation: A Linear Quadratic Regulator Perspective

Yunian Pan, Tao Li, Quanyan Zhu

专题命中模仿学习与强化学习：robotics(abstract)

2502.14995 2025-02-24 eess.IV 50%

Reinforcement Learning for Ultrasound Image Analysis A Comprehensive Review of Advances and Applications

Maha Ezzelarab, Midhila Madhusoodanan, Shrimanti Ghosh, Geetika Vadali, Jacob Jaremko, Abhilash Hareendranathan

专题命中模仿学习与强化学习：navigation(abstract)

Comments 36 pages, 4 figures, 1 table

2502.07112 2025-02-12 eess.SP 50%

Smell of Source: Learning-Based Odor Source Localization with Molecular Communication

Ayse Sila Okcu, Ozgur B. Akan

专题命中模仿学习与强化学习：robotics(abstract)

2501.10990 2025-01-22 cs.DL cs.SI physics.soc-ph 50%

Societal citations undermine the function of the science reward system

Xiaokai Li, An Zeng, Ying Fan

专题命中模仿学习与强化学习：manipulation(abstract)

2411.19639 2025-01-19 cs.MA 50%

RMIO: A Model-Based MARL Framework for Scenarios with Observation Loss in Some Agents

Zifeng Shi, Meiqin Liu, Senlin Zhang, Ronghao Zheng, Shanling Dong

专题命中模仿学习与强化学习：world model(abstract)

Comments 17 pages, 9 figures

2312.16985 2024-12-11 quant-ph 50%

Model-aware reinforcement learning for high-performance Bayesian experimental design in quantum metrology

Federico Belliardo, Fabio Zoratti, Florian Marquardt, Vittorio Giovannetti

专题命中模仿学习与强化学习：manipulation(abstract)

Comments 45 pages, 10 figures

Journal ref Quantum 8, 1555 (2024)

2411.03501 2024-11-07 cs.MS cs.NA cs.SY eess.SY math.NA 50%

The Python LevelSet Toolbox (LevelSetPy)

Lekan Molu

专题命中模仿学习与强化学习：robotics(abstract)

Journal ref The 63rd IEEE Conference on Decision and Control, Milan, 2024

2409.01060 2024-09-04 cs.CE 50%

Multiagent Reinforcement Learning Enhanced Decision-making of Crew Agents During Floor Construction Process

Bin Yang, Boda Liu, Yilong Han, Xin Meng, Yifan Wang, Hansi Yang, Jianzhuang Xia

专题命中模仿学习与强化学习：robotics(abstract)

2408.07346 2024-08-15 cond-mat.soft physics.bio-ph 50%

Enabling microrobotic chemotaxis via reset-free hierarchical reinforcement learning

Tongzhao Xiong, Zhaorong Liu, Chong Jin Ong, Lailai Zhu

专题命中模仿学习与强化学习：navigation(abstract)

2408.02938 2024-08-07 cs.DC 50%

Reinforcement Learning based Workflow Scheduling in Cloud and Edge Computing Environments: A Taxonomy, Review and Future Directions

Amanda Jayanetti, Saman Halgamuge, Rajkumar Buyya

专题命中模仿学习与强化学习：robotics(abstract)

2407.16404 2024-07-24 eess.SY cs.SY 50%

Evaluating Uncertainties in Electricity Markets via Machine Learning and Quantum Computing

Shuyang Zhu, Ziqing Zhu, Linghua Zhu, Yujian Ye, Siqi Bu, Sasa Z. Djokic

专题命中模仿学习与强化学习：manipulation(abstract)

Comments 3 pages, 3 figures, plan for submitting to IEEE Power Engineering Letters

2305.12872 2024-06-18 cs.GT 50%

Byzantine Robust Cooperative Multi-Agent Reinforcement Learning as a Bayesian Game

Simin Li, Jun Guo, Jingqiao Xiu, Ruixiao Xu, Xin Yu, Jiakai Wang, Aishan Liu, Yaodong Yang, Xianglong Liu

专题命中模仿学习与强化学习：manipulation(abstract)

2401.10539 2024-05-07 cs.NE 50%

Quality-Diversity Algorithms Can Provably Be Helpful for Optimization

Chao Qian, Ke Xue, Ren-Jian Wang

专题命中模仿学习与强化学习：robotics(abstract)

Comments The conference version of this paper has appeared at IJCAI'24. This version contains all the proof details

2403.13649 2024-03-21 q-bio.NC cs.NE nlin.AO 50%

Network bottlenecks and task structure control the evolution of interpretable learning rules in a foraging agent

Emmanouil Giannakakis, Sina Khajehabdollahi, Anna Levina

专题命中模仿学习与强化学习：embodied agent(abstract)

2403.10621 2024-03-19 eess.SY cs.SY 50%

Lyapunov Neural Network with Region of Attraction Search

Zili Wang, Sean B. Andersson, Roberto Tron

专题命中模仿学习与强化学习：robotic(abstract)

Comments The paper has been accepted by 2024 American Control Conference (ACC)

2308.13937 2024-01-17 cs.SE 50%

A Comparative Study on Reward Models for UI Adaptation with Reinforcement Learning

Daniel Gaspar-Figueiredo, Silvia Abrahão, Marta Fernández-Diego, Emilio Insfran

专题命中模仿学习与强化学习：manipulation(abstract)

Comments 6 pages + 1 refs. 2 figures

2312.13232 2023-12-21 cs.GT 50%

Learning Best Response Policies in Dynamic Auctions via Deep Reinforcement Learning

Vinzenz Thoma, Michael Curry, Niao He, Sven Seuken

专题命中模仿学习与强化学习：manipulation(abstract)

Comments 14 pages, 4 figures

2311.17519 2023-12-18 cond-mat.stat-mech physics.comp-ph 50%

Reinforcement Learning with thermal fluctuations at the nano-scale

Francesco Boccardo, Olivier Pierre-Louis

专题命中模仿学习与强化学习：navigation(abstract)

2312.07216 2023-12-13 cs.SE 50%

Learning from Interaction: User Interface Adaptation using Reinforcement Learning

Daniel Gaspar-Figueiredo

专题命中模仿学习与强化学习：navigation(abstract)

2310.14940 2023-10-24 eess.SY cs.SY 50%

Comparison of path following in ships using modern and traditional controllers

Sanjeev Kumar Ramkumar Sudha, Md Shadab Alam, Bindusara Reddy, Abhilash Sharma Somayajula

专题命中模仿学习与强化学习：navigation(abstract)

Comments Proceedings of the Sixth International Conference in Ocean Engineering (ICOE2023)

2310.06246 2023-10-11 eess.IV 50%

Compression Ratio Learning and Semantic Communications for Video Imaging

Bowen Zhang, Zhijin Qin, Geoffrey Ye Li

专题命中模仿学习与强化学习：robotic(abstract)

2307.12792 2023-10-06 eess.IV 50%

Deep Homography Prediction for Endoscopic Camera Motion Imitation Learning

Martin Huber, Sebastien Ourselin, Christos Bergeles, Tom Vercauteren

专题命中模仿学习与强化学习：robotic(abstract)

Comments Early accepted at MICCAI 2023

2204.04431 2023-09-26 cs.NE 50%

A Spiking Neural Network Structure Implementing Reinforcement Learning

Mikhail Kiselev

专题命中模仿学习与强化学习：robotics(abstract)

2306.06544 2023-08-16 cs.MA 50%

Herd's Eye View: Improving Game AI Agent Learning with Collaborative Perception

Andrew Nash, Andrew Vardy, David Churchill

专题命中模仿学习与强化学习：robotics(abstract)

Comments AIIDE 2023 Poster

2307.15530 2023-07-31 cs.MA 50%

Learning to Collaborate by Grouping: a Consensus-oriented Strategy for Multi-agent Reinforcement Learning

Jingqing Ruan, Xiaotian Hao, Dong Li, Hangyu Mao

专题命中模仿学习与强化学习：navigation(abstract)

2211.06082 2023-07-13 cs.MA 50%

Autotelic Reinforcement Learning in Multi-Agent Environments

Eleni Nisioti, Elías Masquil, Gautier Hamon, and Clément Moulin-Frier

专题命中模仿学习与强化学习：navigation(abstract)

1. 模仿学习与强化学习 4116 篇

EPO: Explicit Policy Optimization for Strategic Reasoning in LLMs via Reinforcement Learning

DARLR: Dual-Agent Offline Reinforcement Learning for Recommender Systems with Dynamic Reward

Efficient Twin Migration in Vehicular Metaverses: Multi-Agent Split Deep Reinforcement Learning with Spatio-Temporal Trajectory Generation

Optical stabilization for laser communication satellite systems through proportional-integral-derivative (PID) control and reinforcement learning approach

Model-Agnostic Meta-Policy Optimization via Zeroth-Order Estimation: A Linear Quadratic Regulator Perspective

Reinforcement Learning for Ultrasound Image Analysis A Comprehensive Review of Advances and Applications

Smell of Source: Learning-Based Odor Source Localization with Molecular Communication

Societal citations undermine the function of the science reward system

RMIO: A Model-Based MARL Framework for Scenarios with Observation Loss in Some Agents

Model-aware reinforcement learning for high-performance Bayesian experimental design in quantum metrology

The Python LevelSet Toolbox (LevelSetPy)

Multiagent Reinforcement Learning Enhanced Decision-making of Crew Agents During Floor Construction Process

Enabling microrobotic chemotaxis via reset-free hierarchical reinforcement learning

Reinforcement Learning based Workflow Scheduling in Cloud and Edge Computing Environments: A Taxonomy, Review and Future Directions

Evaluating Uncertainties in Electricity Markets via Machine Learning and Quantum Computing

Byzantine Robust Cooperative Multi-Agent Reinforcement Learning as a Bayesian Game

Quality-Diversity Algorithms Can Provably Be Helpful for Optimization

Network bottlenecks and task structure control the evolution of interpretable learning rules in a foraging agent

Lyapunov Neural Network with Region of Attraction Search

A Comparative Study on Reward Models for UI Adaptation with Reinforcement Learning

Learning Best Response Policies in Dynamic Auctions via Deep Reinforcement Learning

Reinforcement Learning with thermal fluctuations at the nano-scale

Learning from Interaction: User Interface Adaptation using Reinforcement Learning

Comparison of path following in ships using modern and traditional controllers

Compression Ratio Learning and Semantic Communications for Video Imaging

Deep Homography Prediction for Endoscopic Camera Motion Imitation Learning

A Spiking Neural Network Structure Implementing Reinforcement Learning

Herd's Eye View: Improving Game AI Agent Learning with Collaborative Perception

Learning to Collaborate by Grouping: a Consensus-oriented Strategy for Multi-agent Reinforcement Learning

Autotelic Reinforcement Learning in Multi-Agent Environments