机器人 / 具身智能 - arXivDaily 专题

2408.16069 2024-08-30 cs.RO 57%

Hitting the Gym: Reinforcement Learning Control of Exercise-Strengthened Biohybrid Robots in Simulation

Saul Schaffer, Hima Hrithik Pamu, Victoria A. Webster-Wood

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

Comments 11 pages, 6 figures

2303.07265 2024-08-26 cs.RO 57%

Multimodal Reinforcement Learning for Robots Collaborating with Humans

Afagh Mehri Shervedani, Siyu Li, Natawut Monaikul, Bahareh Abbasi, Barbara Di Eugenio, Milos Zefran

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

2310.10280 2024-08-13 cs.LG 57%

Mimicking the Maestro: Exploring the Efficacy of a Virtual AI Teacher in Fine Motor Skill Acquisition

Hadar Mulian, Segev Shlomov, Lior Limonad, Alessia Noccaro, Silvia Buscaglione

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

Comments arXiv admin note: The first version of this paper has been removed by arXiv administrators as the submitter did not have the right to agree to the license at the time of submission. This version resolves the rights issue, includes two additional authors, and is cleared to go public

Journal ref EAAI Symposium: AI for Education 2024

2201.08078 2024-08-13 cs.LG 57%

Addressing Maximization Bias in Reinforcement Learning with Two-Sample Testing

Martin Waltz, Ostap Okhrin

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

2404.12631 2024-08-05 cs.NE cs.AI 57%

Breaching the Bottleneck: Evolutionary Transition from Reward-Driven Learning to Reward-Agnostic Domain-Adapted Learning in Neuromodulated Neural Nets

Solvi Arnold, Reiji Suzuki, Takaya Arita, Kimitoshi Yamazaki

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

Comments Camera ready version. 9 pages, 5 figures

Journal ref ALIFE 2024: Proceedings of the 2024 Artificial Life Conference

2312.13788 2024-07-30 cs.RO 57%

Open-Source Reinforcement Learning Environments Implemented in MuJoCo with Franka Manipulator

Zichun Xu, Yuntao Li, Xiaohang Yang, Zhiyuan Zhao, Lei Zhuang, Jingdong Zhao

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

2407.16254 2024-07-24 cs.RO cs.SY eess.SY 57%

Negotiating Control: Neurosymbolic Variable Autonomy

Georgios Bakirtzis, Manolis Chiou, Andreas Theodorou

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

2407.15241 2024-07-23 cs.LG 57%

Temporal Abstraction in Reinforcement Learning with Offline Data

Ranga Shaarad Ayyagari, Anurita Ghosh, Ambedkar Dukkipati

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

2407.13237 2024-07-19 cs.AI 57%

LLM-Empowered State Representation for Reinforcement Learning

Boyuan Wang, Yun Qu, Yuhang Jiang, Jianzhun Shao, Chang Liu, Wenming Yang, Xiangyang Ji

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

2407.11671 2024-07-17 cs.RO cs.HC 57%

A Comparative Analysis of Interactive Reinforcement Learning Algorithms in Warehouse Robot Grid Based Environment

Arunabh Bora

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

2407.10629 2024-07-16 cs.LG cs.CL cs.CY 57%

Balancing the Scales: Reinforcement Learning for Fair Classification

Leon Eshuijs, Shihan Wang, Antske Fokkens

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

2407.09247 2024-07-15 cs.AI 57%

Constrained Intrinsic Motivation for Reinforcement Learning

Xiang Zheng, Xingjun Ma, Chao Shen, Cong Wang

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

Comments Accepted by IJCAI 2024

2406.15568 2024-07-10 cs.LG 57%

Robust Reinforcement Learning from Corrupted Human Feedback

Alexander Bukharin, Ilgee Hong, Haoming Jiang, Zichong Li, Qingru Zhang, Zixuan Zhang, Tuo Zhao

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

Comments 22 pages, 7 figures

2402.01057 2024-07-09 cs.LG 57%

Expert Proximity as Surrogate Rewards for Single Demonstration Imitation Learning

Chia-Cheng Chiang, Li-Cheng Lan, Wei-Fang Sun, Chien Feng, Cho-Jui Hsieh, Chun-Yi Lee

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

Comments Published at ICML 2024. Code: https://github.com/stanl1y/tdil

2302.05342 2024-06-27 cs.LG 57%

Combining Reconstruction and Contrastive Methods for Multimodal Representations in RL

Philipp Becker, Sebastian Mossburger, Fabian Otto, Gerhard Neumann

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

Comments Published in "Reinforcement Learning Conference (RLC)", August 2024

2306.03604 2024-06-27 cs.AI 57%

Enabling Intelligent Interactions between an Agent and an LLM: A Reinforcement Learning Approach

Bin Hu, Chenyang Zhao, Pu Zhang, Zihao Zhou, Yuanhang Yang, Zenglin Xu, Bin Liu

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

Comments 17 pages

2403.11925 2024-06-24 cs.LG 57%

Towards Global Optimality for Practical Average Reward Reinforcement Learning without Mixing Time Oracles

Bhrij Patel, Wesley A. Suttle, Alec Koppel, Vaneet Aggarwal, Brian M. Sadler, Amrit Singh Bedi, Dinesh Manocha

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

Comments 26 Pages, 2 Figures

2406.13366 2024-06-21 cs.RO 57%

Learning the Approach During the Short-loading Cycle Using Reinforcement Learning

Carl Borngrund, Ulf Bodin, Henrik Andreasson, Fredrik Sandin

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

2404.13423 2024-06-18 cs.LG 57%

PIPER: Primitive-Informed Preference-based Hierarchical Reinforcement Learning via Hindsight Relabeling

Utsav Singh, 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：robotic(abstract)；分类 cs.LG

2312.00198 2024-06-18 cs.LG cs.CR cs.GT 57%

Optimal Attack and Defense for Reinforcement Learning

Jeremy McMahan, Young Wu, Xiaojin Zhu, Qiaomin Xie

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

Journal ref Proceedings of the AAAI Conference on Artificial Intelligence, 38(13), 14332-14340. 2024

2406.10392 2024-06-18 cs.RO cs.HC 57%

Advancing Robot-Assisted Autism Therapy: A Novel Algorithm for Enhancing Joint Attention Interventions

Christian Giannetti

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

Comments This preprint is the result of work in progress, therefore it should still be considered a draft

2312.15578 2024-06-18 cs.RO 57%

Explicit-Implicit Subgoal Planning for Long-Horizon Tasks with Sparse Reward

Fangyuan Wang, Anqing Duan, Peng Zhou, Shengzeng Huo, Guodong Guo, Chenguang Yang, David Navarro-Alarcon

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

Comments 17 pages, 17 figures

2406.07848 2024-06-13 cs.AI cs.MA 57%

Multi-agent Reinforcement Learning with Deep Networks for Diverse Q-Vectors

Zhenglong Luo, Zhiyong Chen, James Welsh

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

2310.12103 2024-06-05 cs.AI cs.NE 57%

Quality Diversity through Human Feedback: Towards Open-Ended Diversity-Driven Optimization

Li Ding, Jenny Zhang, Jeff Clune, Lee Spector, Joel Lehman

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

Comments ICML 2024

2406.00211 2024-06-04 cs.RO cs.SY eess.SY 57%

Navigating Autonomous Vehicle on Unmarked Roads with Diffusion-Based Motion Prediction and Active Inference

Yufei Huang, Yulin Li, Andrea Matta, Mohsen Jafari

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

2405.20018 2024-05-31 cs.MA cs.CL cs.LG 57%

Safe Multi-agent Reinforcement Learning with Natural Language Constraints

Ziyan Wang, Meng Fang, Tristan Tomilin, Fei Fang, Yali Du

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

Comments 23 pages, 6 figures

2405.19878 2024-05-31 cs.LG cs.GT 57%

Learning from Random Demonstrations: Offline Reinforcement Learning with Importance-Sampled Diffusion Models

Zeyu Fang, Tian Lan

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

2405.19528 2024-05-31 cs.RO 57%

Predicting Long-Term Human Behaviors in Discrete Representations via Physics-Guided Diffusion

Zhitian Zhang, Anjian Li, Angelica Lim, Mo Chen

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

2405.17370 2024-05-28 eess.SY cs.LG cs.SY 57%

Model-Agnostic Zeroth-Order Policy Optimization for Meta-Learning of Ergodic Linear Quadratic Regulators

Yunian Pan, Quanyan Zhu

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

2311.13373 2024-05-28 cs.AI 57%

Large Language Model as a Policy Teacher for Training Reinforcement Learning Agents

Zihao Zhou, Bin Hu, Chenyang Zhao, Pu Zhang, Bin Liu

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

Comments Accepted and Published by IJCAI 2024

1. 模仿学习与强化学习 4116 篇

Hitting the Gym: Reinforcement Learning Control of Exercise-Strengthened Biohybrid Robots in Simulation

Multimodal Reinforcement Learning for Robots Collaborating with Humans

Mimicking the Maestro: Exploring the Efficacy of a Virtual AI Teacher in Fine Motor Skill Acquisition

Addressing Maximization Bias in Reinforcement Learning with Two-Sample Testing

Breaching the Bottleneck: Evolutionary Transition from Reward-Driven Learning to Reward-Agnostic Domain-Adapted Learning in Neuromodulated Neural Nets

Open-Source Reinforcement Learning Environments Implemented in MuJoCo with Franka Manipulator

Negotiating Control: Neurosymbolic Variable Autonomy

Temporal Abstraction in Reinforcement Learning with Offline Data

LLM-Empowered State Representation for Reinforcement Learning

A Comparative Analysis of Interactive Reinforcement Learning Algorithms in Warehouse Robot Grid Based Environment

Balancing the Scales: Reinforcement Learning for Fair Classification

Constrained Intrinsic Motivation for Reinforcement Learning

Robust Reinforcement Learning from Corrupted Human Feedback

Expert Proximity as Surrogate Rewards for Single Demonstration Imitation Learning

Combining Reconstruction and Contrastive Methods for Multimodal Representations in RL

Enabling Intelligent Interactions between an Agent and an LLM: A Reinforcement Learning Approach

Towards Global Optimality for Practical Average Reward Reinforcement Learning without Mixing Time Oracles

Learning the Approach During the Short-loading Cycle Using Reinforcement Learning

PIPER: Primitive-Informed Preference-based Hierarchical Reinforcement Learning via Hindsight Relabeling

Optimal Attack and Defense for Reinforcement Learning

Advancing Robot-Assisted Autism Therapy: A Novel Algorithm for Enhancing Joint Attention Interventions

Explicit-Implicit Subgoal Planning for Long-Horizon Tasks with Sparse Reward

Multi-agent Reinforcement Learning with Deep Networks for Diverse Q-Vectors

Quality Diversity through Human Feedback: Towards Open-Ended Diversity-Driven Optimization

Navigating Autonomous Vehicle on Unmarked Roads with Diffusion-Based Motion Prediction and Active Inference

Safe Multi-agent Reinforcement Learning with Natural Language Constraints

Learning from Random Demonstrations: Offline Reinforcement Learning with Importance-Sampled Diffusion Models

Predicting Long-Term Human Behaviors in Discrete Representations via Physics-Guided Diffusion

Model-Agnostic Zeroth-Order Policy Optimization for Meta-Learning of Ergodic Linear Quadratic Regulators

Large Language Model as a Policy Teacher for Training Reinforcement Learning Agents