机器人 / 具身智能 - arXivDaily 专题

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

2306.05582 2023-06-12 cs.AI q-bio.NC 57%

A newborn embodied Turing test for view-invariant object recognition

Denizhan Pak, Donsuk Lee, Samantha M. W. Wood, Justin N. Wood

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

Comments 7 Pages. 4 figures, 1 table. This paper was accepted to the CogSci 2023 Conference. (https://cognitivesciencesociety.org/)

2207.10415 2023-06-06 math.OC cs.LG 57%

Log Barriers for Safe Black-box Optimization with Application to Safe Reinforcement Learning

Ilnura Usmanova, Yarden As, Maryam Kamgarpour, Andreas Krause

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

Comments 36 pages, 9 pages of appendix

2202.02006 2023-05-29 cs.NI cs.AI 57%

5G Network on Wings: A Deep Reinforcement Learning Approach to the UAV-based Integrated Access and Backhaul

Hongyi Zhang, Zhiqiang Qi, Jingya Li, Anders Aronsson, Jan Bosch, Helena Holmström Olsson

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

2305.14586 2023-05-25 cs.RO 57%

MARC: A multi-agent robots control framework for enhancing reinforcement learning in construction tasks

Kangkang Duan, Christine Wun Ki Suen, Zhengbo Zou

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

Comments 19 pages

2302.12600 2023-05-23 cs.NE cs.AI 57%

EvoTorch: Scalable Evolutionary Computation in Python

Nihat Engin Toklu, Timothy Atkinson, Vojtěch Micka, Paweł Liskowski, Rupesh Kumar Srivastava

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

2305.11358 2023-05-22 cs.LG cs.MA 57%

Understanding the World to Solve Social Dilemmas Using Multi-Agent Reinforcement Learning

Manuel Rios, Nicanor Quijano, Luis Felipe Giraldo

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

Comments ICLR 2023 - AI4ABM workshop

2304.03326 2023-05-19 math.OC cs.RO cs.SY eess.SY math.DS nlin.CD 57%

Finite Time Lyapunov Exponent Analysis of Model Predictive Control and Reinforcement Learning

Kartik Krishna, Steven L. Brunton, Zhuoyuan Song

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

Comments 22 pages, 12 figures

2205.14495 2023-05-19 cs.LG 57%

Task-Agnostic Continual Reinforcement Learning: Gaining Insights and Overcoming Challenges

Massimo Caccia, Jonas Mueller, Taesup Kim, Laurent Charlin, Rasool Fakoor

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

Journal ref CoLLAs 2023

2109.06831 2023-05-16 cs.RO 57%

Multi-Agent Deep Reinforcement Learning For Persistent Monitoring With Sensing, Communication, and Localization Constraints

Manav Mishra, Prithvi Poddar, Rajat Agarwal, Jingxi Chen, Pratap Tokekar, P. B. Sujit

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

2206.02678 2023-05-12 cs.LG 57%

Provably Efficient Risk-Sensitive Reinforcement Learning: Iterated CVaR and Worst Path

Yihan Du, Siwei Wang, Longbo Huang

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

2305.03870 2023-05-11 cs.LG 57%

Knowledge Transfer from Teachers to Learners in Growing-Batch Reinforcement Learning

Patrick Emedom-Nnamdi, Abram L. Friesen, Bobak Shahriari, Nando de Freitas, Matt W. Hoffman

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

Comments Reincarnating Reinforcement Learning Workshop at ICLR 2023

2303.01618 2023-05-09 cs.AI 57%

Deconstructing deep active inference

Théophile Champion, Marek Grześ, Lisa Bonheme, Howard Bowman

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

Comments 59 pages, 46 figures

2203.15955 2023-05-08 cs.LG 57%

Investigating the Properties of Neural Network Representations in Reinforcement Learning

Han Wang, Erfan Miahi, Martha White, Marlos C. Machado, Zaheer Abbas, Raksha Kumaraswamy, Vincent Liu, Adam White

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

1. 模仿学习与强化学习 4134 篇

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

A newborn embodied Turing test for view-invariant object recognition

Log Barriers for Safe Black-box Optimization with Application to Safe Reinforcement Learning

5G Network on Wings: A Deep Reinforcement Learning Approach to the UAV-based Integrated Access and Backhaul

MARC: A multi-agent robots control framework for enhancing reinforcement learning in construction tasks

EvoTorch: Scalable Evolutionary Computation in Python

Understanding the World to Solve Social Dilemmas Using Multi-Agent Reinforcement Learning

Finite Time Lyapunov Exponent Analysis of Model Predictive Control and Reinforcement Learning

Task-Agnostic Continual Reinforcement Learning: Gaining Insights and Overcoming Challenges

Multi-Agent Deep Reinforcement Learning For Persistent Monitoring With Sensing, Communication, and Localization Constraints

Provably Efficient Risk-Sensitive Reinforcement Learning: Iterated CVaR and Worst Path

Knowledge Transfer from Teachers to Learners in Growing-Batch Reinforcement Learning

Deconstructing deep active inference

Investigating the Properties of Neural Network Representations in Reinforcement Learning