机器人 / 具身智能 - arXivDaily 专题

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

2308.04909 2023-08-15 cs.CR cs.AI 57%

Adversarial Deep Reinforcement Learning for Cyber Security in Software Defined Networks

Luke Borchjes, Clement Nyirenda, Louise Leenen

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

2308.04299 2023-08-09 cs.AI 57%

Actor-Critic with variable time discretization via sustained actions

Jakub Łyskawa, Paweł Wawrzyński

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

2307.15581 2023-07-31 cs.RO 57%

Learning to Open Doors with an Aerial Manipulator

Eugenio Cuniato, Ismail Geles, Weixuan Zhang, Olov Andersson, Marco Tognon, Roland Siegwart

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

2307.14147 2023-07-31 cs.RO 57%

MorphoLander: Reinforcement Learning Based Landing of a Group of Drones on the Adaptive Morphogenetic UAV

Sausar Karaf, Aleksey Fedoseev, Mikhail Martynov, Zhanibek Darush, Aleksei Shcherbak, Dzmitry Tsetserukou

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

Comments Accepted paper at the 2023 IEEE Conference on Systems, Man, and Cybernetics

2307.10710 2023-07-21 cs.LG 57%

Reparameterized Policy Learning for Multimodal Trajectory Optimization

Zhiao Huang, Litian Liang, Zhan Ling, Xuanlin Li, Chuang Gan, Hao Su

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

2307.10041 2023-07-20 cs.RO cs.AR 57%

BERRY: Bit Error Robustness for Energy-Efficient Reinforcement Learning-Based Autonomous Systems

Zishen Wan, Nandhini Chandramoorthy, Karthik Swaminathan, Pin-Yu Chen, Vijay Janapa Reddi, Arijit Raychowdhury

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

Comments Accepted in 2023 60th IEEE/ACM Design Automation Conference (DAC)

2307.09246 2023-07-20 cs.RO 57%

Task Space Control of Hydraulic Construction Machines using Reinforcement Learning

Hyung Joo Lee, Sigrid Brell-Cokcan

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

2307.05696 2023-07-13 cs.IR cs.AI cs.CL 57%

A Personalized Reinforcement Learning Summarization Service for Learning Structure from Unstructured Data

Samira Ghodratnama, Amin Beheshti, Mehrdad Zakershahrak

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

Comments arXiv admin note: substantial text overlap with arXiv:2108.09443

2204.02372 2023-07-11 cs.LG 57%

Jump-Start Reinforcement Learning

Ikechukwu Uchendu, Ted Xiao, Yao Lu, Banghua Zhu, Mengyuan Yan, Joséphine Simon, Matthew Bennice, Chuyuan Fu, Cong Ma, Jiantao Jiao, Sergey Levine, Karol Hausman

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

Comments 20 pages, 10 figures

2209.10656 2023-07-06 cs.AI 57%

Learning from Symmetry: Meta-Reinforcement Learning with Symmetrical Behaviors and Language Instructions

Xiangtong Yao, Zhenshan Bing, Genghang Zhuang, Kejia Chen, Hongkuan Zhou, Kai Huang, Alois Knoll

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

2302.10017 2023-06-30 cs.RO 57%

Stable Motion Primitives via Imitation and Contrastive Learning

Rodrigo Pérez-Dattari, Jens Kober

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

2209.10935 2023-06-28 cs.RO physics.flu-dyn 57%

Learning swimming via deep reinforcement learning

Jin Zhang, Lei Zhou, Bochao Cao

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

Comments We found some errors in the experimental data

2306.10833 2023-06-21 cs.RO 57%

PTDRL: Parameter Tuning using Deep Reinforcement Learning

Elias Goldsztejn, Tal Feiner, Ronen Brafman

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

2212.12809 2023-06-21 cs.LG 57%

Understanding the Complexity Gains of Single-Task RL with a Curriculum

Qiyang Li, Yuexiang Zhai, Yi Ma, Sergey Levine

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

Comments 40 pages, 11 Figures, 13 Tables, International Conference on Machine Learning (ICML) 2023

2306.09331 2023-06-16 cs.CV 57%

Seeing the Pose in the Pixels: Learning Pose-Aware Representations in Vision Transformers

Dominick Reilly, Aman Chadha, Srijan Das

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

Comments Pre-print. 18 pages

2303.12803 2023-06-16 cs.NE cs.AI 57%

Evolving Populations of Diverse RL Agents with MAP-Elites

Thomas Pierrot, Arthur Flajolet

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

2210.12301 2023-06-16 cs.LG 57%

Continual Vision-based Reinforcement Learning with Group Symmetries

Shiqi Liu, Mengdi Xu, Piede Huang, Yongkang Liu, Kentaro Oguchi, Ding Zhao

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

Comments 15 pages, 12 figures

1. 模仿学习与强化学习 4116 篇

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

Adversarial Deep Reinforcement Learning for Cyber Security in Software Defined Networks

Actor-Critic with variable time discretization via sustained actions

Learning to Open Doors with an Aerial Manipulator

MorphoLander: Reinforcement Learning Based Landing of a Group of Drones on the Adaptive Morphogenetic UAV

Reparameterized Policy Learning for Multimodal Trajectory Optimization

BERRY: Bit Error Robustness for Energy-Efficient Reinforcement Learning-Based Autonomous Systems

Task Space Control of Hydraulic Construction Machines using Reinforcement Learning

A Personalized Reinforcement Learning Summarization Service for Learning Structure from Unstructured Data

Jump-Start Reinforcement Learning

Learning from Symmetry: Meta-Reinforcement Learning with Symmetrical Behaviors and Language Instructions

Stable Motion Primitives via Imitation and Contrastive Learning

Learning swimming via deep reinforcement learning

PTDRL: Parameter Tuning using Deep Reinforcement Learning

Understanding the Complexity Gains of Single-Task RL with a Curriculum

Seeing the Pose in the Pixels: Learning Pose-Aware Representations in Vision Transformers

Evolving Populations of Diverse RL Agents with MAP-Elites

Continual Vision-based Reinforcement Learning with Group Symmetries