机器人 / 具身智能 - arXivDaily 专题

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

2403.04329 2024-05-28 math.NA cs.CE cs.LG cs.NA 57%

A mechanism-driven reinforcement learning framework for shape optimization of airfoils

Jingfeng Wang, Guanghui Hu

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

Comments 25 pages

2309.17371 2024-05-27 cs.LG cs.SY eess.SY stat.ML 57%

Adversarial Imitation Learning from Visual Observations using Latent Information

Vittorio Giammarino, James Queeney, Ioannis Ch. Paschalidis

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

2405.11512 2024-05-21 cs.RO 57%

Going into Orbit: Massively Parallelizing Episodic Reinforcement Learning

Jan Oberst, Johann Bonneau

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

2401.07553 2024-05-16 cs.LG cs.CL 57%

Safe Reinforcement Learning with Free-form Natural Language Constraints and Pre-Trained Language Models

Xingzhou Lou, Junge Zhang, Ziyan Wang, Kaiqi Huang, Yali Du

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

2405.07748 2024-05-14 cs.LG 57%

Neural Network Compression for Reinforcement Learning Tasks

Dmitry A. Ivanov, Denis A. Larionov, Oleg V. Maslennikov, Vladimir V. Voevodin

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

Comments 14 pages, 6 figures

2312.15965 2024-05-13 cs.LG 57%

Efficient Reinforcement Learning via Decoupling Exploration and Utilization

Jingpu Yang, Helin Wang, Qirui Zhao, Zhecheng Shi, Zirui Song, Miao Fang

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

Comments Accepted by ICIC 2024 (Oral)

Journal ref 2024 International Conference on Intelligent Computing

2405.02250 2024-05-06 cs.RO 57%

Geometric Fabrics: a Safe Guiding Medium for Policy Learning

Karl Van Wyk, Ankur Handa, Viktor Makoviychuk, Yijie Guo, Arthur Allshire, Nathan D. Ratliff

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

2405.01604 2024-05-06 q-fin.PM cs.LG 57%

Portfolio Management using Deep Reinforcement Learning

Ashish Anil Pawar, Vishnureddy Prashant Muskawar, Ritesh Tiku

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

Comments 7 pages, 9 figures

2303.13935 2024-04-30 cs.RO 57%

Multi-Task Reinforcement Learning in Continuous Control with Successor Feature-Based Concurrent Composition

Yu Tang Liu, Aamir Ahmad

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

2404.17379 2024-04-29 cs.RO 57%

Adaptive speed planning for Unmanned Vehicle Based on Deep Reinforcement Learning

Hao Liu, Yi Shen, Wenjing Zhou, Yuelin Zou, Chang Zhou, Shuyao He

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

2404.13678 2024-04-23 cs.RO 57%

Adaptive Social Force Window Planner with Reinforcement Learning

Mauro Martini, Noé Pérez-Higueras, Andrea Ostuni, Marcello Chiaberge, Fernando Caballero, Luis Merino

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

2402.01118 2024-04-03 cs.AI cs.CL 57%

PokeLLMon: A Human-Parity Agent for Pokemon Battles with Large Language Models

Sihao Hu, Tiansheng Huang, Ling Liu

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

Comments 10 pages

2403.19916 2024-04-01 cs.RO 57%

Fusion Dynamical Systems with Machine Learning in Imitation Learning: A Comprehensive Overview

Yingbai Hu, Fares J. Abu-Dakka, Fei Chen, Xiao Luo, Zheng Li, Alois Knoll, Weiping Ding

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

1. 模仿学习与强化学习 4134 篇

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

A mechanism-driven reinforcement learning framework for shape optimization of airfoils

Adversarial Imitation Learning from Visual Observations using Latent Information

Going into Orbit: Massively Parallelizing Episodic Reinforcement Learning

Safe Reinforcement Learning with Free-form Natural Language Constraints and Pre-Trained Language Models

Neural Network Compression for Reinforcement Learning Tasks

Efficient Reinforcement Learning via Decoupling Exploration and Utilization

Geometric Fabrics: a Safe Guiding Medium for Policy Learning

Portfolio Management using Deep Reinforcement Learning

Multi-Task Reinforcement Learning in Continuous Control with Successor Feature-Based Concurrent Composition

Adaptive speed planning for Unmanned Vehicle Based on Deep Reinforcement Learning

Adaptive Social Force Window Planner with Reinforcement Learning

PokeLLMon: A Human-Parity Agent for Pokemon Battles with Large Language Models

Fusion Dynamical Systems with Machine Learning in Imitation Learning: A Comprehensive Overview