机器人 / 具身智能 - arXivDaily 专题

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

2403.18524 2024-03-28 cs.RO 57%

Bridging the Gap: Regularized Reinforcement Learning for Improved Classical Motion Planning with Safety Modules

Elias Goldsztejn, Ronen I. Brafman

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

Comments 8 pages

2403.12210 2024-03-20 eess.SY cs.LG cs.SY 57%

Decomposing Control Lyapunov Functions for Efficient Reinforcement Learning

Antonio Lopez, David Fridovich-Keil

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

2403.11219 2024-03-19 cs.AI 57%

Causality from Bottom to Top: A Survey

Abraham Itzhak Weinberg, Cristiano Premebida, Diego Resende Faria

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

2303.10257 2024-03-12 math.OC cs.LG 57%

Recent Developments in Machine Learning Methods for Stochastic Control and Games

Ruimeng Hu, Mathieu Laurière

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

2310.09714 2024-03-11 cs.RO 57%

Enhancing Task Performance of Learned Simplified Models via Reinforcement Learning

Hien Bui, Michael Posa

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

Comments The work will be presented in ICRA2024

2403.01636 2024-03-07 stat.ML cs.LG 57%

Sample Efficient Myopic Exploration Through Multitask Reinforcement Learning with Diverse Tasks

Ziping Xu, Zifan Xu, Runxuan Jiang, Peter Stone, Ambuj Tewari

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

2310.05808 2024-03-05 cs.RO 57%

An Open-Loop Baseline for Reinforcement Learning Locomotion Tasks

Antonin Raffin, Olivier Sigaud, Jens Kober, Alin Albu-Schäffer, João Silvério, Freek Stulp

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

Comments video: https://b2drop.eudat.eu/s/ykDPMM7F9KFyLgi minimal code: https://gist.github.com/araffin/1fb77a8f290ac248b2e76e01164f21e0

2403.01059 2024-03-05 cs.LG 57%

Continuous Mean-Zero Disagreement-Regularized Imitation Learning (CMZ-DRIL)

Noah Ford, Ryan W. Gardner, Austin Juhl, Nathan Larson

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

2309.08095 2024-03-05 cs.RO 57%

RELAX: Reinforcement Learning Enabled 2D-LiDAR Autonomous System for Parsimonious UAVs

Guanlin Wu, Zhuokai Zhao, Yutao He

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

2308.13654 2024-03-05 cs.LG 57%

Pretty darn good control: when are approximate solutions better than approximate models

Felipe Montealegre-Mora, Marcus Lapeyrolerie, Melissa Chapman, Abigail G. Keller, Carl Boettiger

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

Comments 24 pages, 14 figures. Accepted to the Bulletin of Mathematical Biology

2307.06175 2024-02-26 cs.LG cs.MA math.OC 57%

Learning Decentralized Partially Observable Mean Field Control for Artificial Collective Behavior

Kai Cui, Sascha Hauck, Christian Fabian, Heinz Koeppl

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

Comments Accepted to ICLR 2024

2402.13419 2024-02-22 cs.AI 57%

Reward Bound for Behavioral Guarantee of Model-based Planning Agents

Zhiyu An, Xianzhong Ding, Wan Du

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

Comments To be published in ICLR 24 tiny paper track

2402.07019 2024-02-13 cs.LG 57%

Informativeness of Reward Functions in Reinforcement Learning

Rati Devidze, Parameswaran Kamalaruban, Adish Singla

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

Comments Longer version of the AAMAS'24 paper

2402.01913 2024-02-06 cs.RO 57%

TartanDrive 2.0: More Modalities and Better Infrastructure to Further Self-Supervised Learning Research in Off-Road Driving Tasks

Matthew Sivaprakasam, Parv Maheshwari, Mateo Guaman Castro, Samuel Triest, Micah Nye, Steve Willits, Andrew Saba, Wenshan Wang, Sebastian Scherer

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

2206.11396 2024-01-30 cs.LG 57%

Multi-Horizon Representations with Hierarchical Forward Models for Reinforcement Learning

Trevor McInroe, Lukas Schäfer, Stefano V. Albrecht

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

Comments Published in TMLR

2203.03986 2024-01-23 cs.RO math.OC 57%

Leveraging Randomized Smoothing for Optimal Control of Nonsmooth Dynamical Systems

Quentin Le Lidec, Fabian Schramm, Louis Montaut, Cordelia Schmid, Ivan Laptev, Justin Carpentier

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

2107.00116 2024-01-17 cs.LG 57%

On the Benefits of Inducing Local Lipschitzness for Robust Generative Adversarial Imitation Learning

Farzan Memarian, Abolfazl Hashemi, Scott Niekum, Ufuk Topcu

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

1. 模仿学习与强化学习 4116 篇

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

Bridging the Gap: Regularized Reinforcement Learning for Improved Classical Motion Planning with Safety Modules

Decomposing Control Lyapunov Functions for Efficient Reinforcement Learning

Causality from Bottom to Top: A Survey

Recent Developments in Machine Learning Methods for Stochastic Control and Games

Enhancing Task Performance of Learned Simplified Models via Reinforcement Learning

Sample Efficient Myopic Exploration Through Multitask Reinforcement Learning with Diverse Tasks

An Open-Loop Baseline for Reinforcement Learning Locomotion Tasks

Continuous Mean-Zero Disagreement-Regularized Imitation Learning (CMZ-DRIL)

RELAX: Reinforcement Learning Enabled 2D-LiDAR Autonomous System for Parsimonious UAVs

Pretty darn good control: when are approximate solutions better than approximate models

Learning Decentralized Partially Observable Mean Field Control for Artificial Collective Behavior

Reward Bound for Behavioral Guarantee of Model-based Planning Agents

Informativeness of Reward Functions in Reinforcement Learning

TartanDrive 2.0: More Modalities and Better Infrastructure to Further Self-Supervised Learning Research in Off-Road Driving Tasks

Multi-Horizon Representations with Hierarchical Forward Models for Reinforcement Learning

Leveraging Randomized Smoothing for Optimal Control of Nonsmooth Dynamical Systems

On the Benefits of Inducing Local Lipschitzness for Robust Generative Adversarial Imitation Learning