机器人 / 具身智能 - arXivDaily 专题

2306.06394 2025-02-11 cs.LG 57%

PEAR: Primitive Enabled Adaptive Relabeling for Boosting Hierarchical Reinforcement Learning

Utsav Singh, Vinay P. Namboodiri

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

2502.04141 2025-02-07 cs.LG 57%

Behavioral Entropy-Guided Dataset Generation for Offline Reinforcement Learning

Wesley A. Suttle, Aamodh Suresh, Carlos Nieto-Granda

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

Comments Accepted to ICLR 2025

2405.17424 2025-02-06 cs.CV 57%

LARM: Large Auto-Regressive Model for Long-Horizon Embodied Intelligence

Zhuoling Li, Xiaogang Xu, Zhenhua Xu, SerNam Lim, Hengshuang Zhao

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

2502.01616 2025-02-04 cs.LG 57%

Preference VLM: Leveraging VLMs for Scalable Preference-Based Reinforcement Learning

Udita Ghosh, Dripta S. Raychaudhuri, Jiachen Li, Konstantinos Karydis, Amit Roy-Chowdhury

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

2502.01465 2025-02-04 cs.RO cs.SY eess.SY 57%

Embrace Collisions: Humanoid Shadowing for Deployable Contact-Agnostics Motions

Ziwen Zhuang, Hang Zhao

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

2502.00726 2025-02-04 cs.AI 57%

Perspectives for Direct Interpretability in Multi-Agent Deep Reinforcement Learning

Yoann Poupart, Aurélie Beynier, Nicolas Maudet

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

2501.16590 2025-01-29 cs.RO cs.SY eess.SY 57%

Benchmarking Model Predictive Control and Reinforcement Learning Based Control for Legged Robot Locomotion in MuJoCo Simulation

Shivayogi Akki, Tan Chen

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

2501.12150 2025-01-22 cs.CV 57%

DNRSelect: Active Best View Selection for Deferred Neural Rendering

Dongli Wu, Haochen Li, Xiaobao Wei

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

Comments 7 pages, 8 figures, submitted to ICRA 2025

2404.17906 2025-01-22 cs.RO 57%

VIEW: Visual Imitation Learning with Waypoints

Ananth Jonnavittula, Sagar Parekh, Dylan P. Losey

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

Comments 27 pages, 17 figures

2403.06328 2025-01-22 cs.LG 57%

Distributional Successor Features Enable Zero-Shot Policy Optimization

Chuning Zhu, Xinqi Wang, Tyler Han, Simon S. Du, Abhishek Gupta

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

2203.01707 2025-01-07 stat.ML cs.LG 57%

Testing Stationarity and Change Point Detection in Reinforcement Learning

Mengbing Li, Chengchun Shi, Zhenke Wu, Piotr Fryzlewicz

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

2012.13091 2025-01-07 cs.LG 57%

Auto-Agent-Distiller: Towards Efficient Deep Reinforcement Learning Agents via Neural Architecture Search

Yonggan Fu, Zhongzhi Yu, Yongan Zhang, Yingyan Celine Lin

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

2410.23242 2025-01-06 cs.AI 57%

A little less conversation, a little more action, please: Investigating the physical common-sense of LLMs in a 3D embodied environment

Matteo G. Mecattaf, Ben Slater, Marko Tešić, Jonathan Prunty, Konstantinos Voudouris, Lucy G. Cheke

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

Comments 25 pages, 4 figures; v2: Added AFMR Acknowledgment

2412.04074 2025-01-03 cs.NI cs.LG 57%

Integrated Sensing and Communications for Low-Altitude Economy: A Deep Reinforcement Learning Approach

Xiaowen Ye, Yuyi Mao, Xianghao Yu, Shu Sun, Liqun Fu, Jie Xu

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

Comments submitted for an IEEE publication

2501.00381 2025-01-03 cs.LG stat.ML 57%

Toward Information Theoretic Active Inverse Reinforcement Learning

Ondrej Bajgar, Sid William Gould, Rohan Narayan Langford Mitta, Jonathon Liu, Oliver Newcombe, Jack Golden

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

Comments NeurIPS 2024 Workshop on Bayesian Decision-making and Uncertainty

2406.10892 2025-01-03 cs.LG 57%

DIPPER: Direct Preference Optimization to Accelerate Primitive-Enabled Hierarchical Reinforcement Learning

Utsav Singh, Souradip Chakraborty, Wesley A. Suttle, Brian M. Sadler, Vinay P Namboodiri, Amrit Singh Bedi

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

Comments This paper is subsumed by a later paper of ours: arXiv:2411.00361

2408.10215 2024-12-31 cs.LG cs.SY eess.SY 57%

Comprehensive Overview of Reward Engineering and Shaping in Advancing Reinforcement Learning Applications

Sinan Ibrahim, Mostafa Mostafa, Ali Jnadi, Hadi Salloum, Pavel Osinenko

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

Comments 28 pages, 33 figures

2412.13106 2024-12-30 cs.LG 57%

Active Reinforcement Learning Strategies for Offline Policy Improvement

Ambedkar Dukkipati, Ranga Shaarad Ayyagari, Bodhisattwa Dasgupta, Parag Dutta, Prabhas Reddy Onteru

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

Comments AAAI 2025

2412.17344 2024-12-24 cs.LG 57%

Reinforcement Learning with a Focus on Adjusting Policies to Reach Targets

Akane Tsuboya, Yu Kono, Tatsuji Takahashi

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

Comments Accepted by AROB-ISBC 2025

2411.10336 2024-12-23 cs.RO 57%

BMP: Bridging the Gap between B-Spline and Movement Primitives

Weiran Liao, Ge Li, Hongyi Zhou, Rudolf Lioutikov, Gerhard Neumann

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

2311.16948 2024-12-23 cs.RO 57%

End-to-end Reinforcement Learning for Time-Optimal Quadcopter Flight

Robin Ferede, Christophe De Wagter, Dario Izzo, Guido C. H. E. de Croon

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

Comments 6 pages, 6 figures, 1 table

2407.20041 2024-12-20 cs.RO cond-mat.soft 57%

Counterfactual rewards promote collective transport using individually controlled swarm microrobots

Veit-Lorenz Heuthe, Emanuele Panizon, Hongri Gu, Clemens Bechinger

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

Comments 34 pages, 7 figures

2409.05622 2024-12-17 cs.LG 57%

Forward KL Regularized Preference Optimization for Aligning Diffusion Policies

Zhao Shan, Chenyou Fan, Shuang Qiu, Jiyuan Shi, Chenjia Bai

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

2412.00154 2024-12-11 cs.SE cs.AI 57%

o1-Coder: an o1 Replication for Coding

Yuxiang Zhang, Shangxi Wu, Yuqi Yang, Jiangming Shu, Jinlin Xiao, Chao Kong, Jitao Sang

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

2406.00960 2024-12-06 cs.GR cs.RO 57%

PDP: Physics-Based Character Animation via Diffusion Policy

Takara E. Truong, Michael Piseno, Zhaoming Xie, C. Karen Liu

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

Journal ref In SIGGRAPH Asia 2024 Conference Papers (Article No. 86, 10 pages)

2412.01036 2024-12-03 cs.RO 57%

Generating Freeform Endoskeletal Robots

Muhan Li, Lingji Kong, Sam Kriegman

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

2411.16262 2024-11-26 cs.AI q-bio.NC 57%

Probing for Consciousness in Machines

Mathis Immertreu, Achim Schilling, Andreas Maier, Patrick Krauss

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

2308.12762 2024-11-26 cs.RO cs.NE 57%

Reinforcement Learning Informed Evolutionary Search for Autonomous Systems Testing

Dmytro Humeniuk, Foutse Khomh, Giuliano Antoniol

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

2301.10292 2024-11-26 cs.NE cs.AI 57%

Tuning Synaptic Connections instead of Weights by Genetic Algorithm in Spiking Policy Network

Duzhen Zhang, Tielin Zhang, Shuncheng Jia, Qingyu Wang, Bo Xu

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

Comments Published in Machine Intelligence Research

Journal ref Machine Intelligence Research 2023, vol. 21, no. 5, pp. 906-918. https://link.springer.com/article/10.1007/s11633-023-1481-1

2411.14375 2024-11-22 cs.LG cs.LO 57%

Model Checking for Reinforcement Learning in Autonomous Driving: One Can Do More Than You Think!

Rong Gu

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

Comments In Proceedings FMAS2024, arXiv:2411.13215

Journal ref EPTCS 411, 2024, pp. 160-177

1. 模仿学习与强化学习 4116 篇

PEAR: Primitive Enabled Adaptive Relabeling for Boosting Hierarchical Reinforcement Learning

Behavioral Entropy-Guided Dataset Generation for Offline Reinforcement Learning

LARM: Large Auto-Regressive Model for Long-Horizon Embodied Intelligence

Preference VLM: Leveraging VLMs for Scalable Preference-Based Reinforcement Learning

Embrace Collisions: Humanoid Shadowing for Deployable Contact-Agnostics Motions

Perspectives for Direct Interpretability in Multi-Agent Deep Reinforcement Learning

Benchmarking Model Predictive Control and Reinforcement Learning Based Control for Legged Robot Locomotion in MuJoCo Simulation

DNRSelect: Active Best View Selection for Deferred Neural Rendering

VIEW: Visual Imitation Learning with Waypoints

Distributional Successor Features Enable Zero-Shot Policy Optimization

Testing Stationarity and Change Point Detection in Reinforcement Learning

Auto-Agent-Distiller: Towards Efficient Deep Reinforcement Learning Agents via Neural Architecture Search

A little less conversation, a little more action, please: Investigating the physical common-sense of LLMs in a 3D embodied environment

Integrated Sensing and Communications for Low-Altitude Economy: A Deep Reinforcement Learning Approach

Toward Information Theoretic Active Inverse Reinforcement Learning

DIPPER: Direct Preference Optimization to Accelerate Primitive-Enabled Hierarchical Reinforcement Learning

Comprehensive Overview of Reward Engineering and Shaping in Advancing Reinforcement Learning Applications

Active Reinforcement Learning Strategies for Offline Policy Improvement

Reinforcement Learning with a Focus on Adjusting Policies to Reach Targets

BMP: Bridging the Gap between B-Spline and Movement Primitives

End-to-end Reinforcement Learning for Time-Optimal Quadcopter Flight

Counterfactual rewards promote collective transport using individually controlled swarm microrobots

Forward KL Regularized Preference Optimization for Aligning Diffusion Policies

o1-Coder: an o1 Replication for Coding

PDP: Physics-Based Character Animation via Diffusion Policy

Generating Freeform Endoskeletal Robots

Probing for Consciousness in Machines

Reinforcement Learning Informed Evolutionary Search for Autonomous Systems Testing

Tuning Synaptic Connections instead of Weights by Genetic Algorithm in Spiking Policy Network

Model Checking for Reinforcement Learning in Autonomous Driving: One Can Do More Than You Think!