机器人 / 具身智能 - arXivDaily 专题

2312.14625 2024-03-08 cs.AI cs.CR cs.LG 73%

Multi-Agent Reinforcement Learning for Assessing False-Data Injection Attacks on Transportation Networks

Taha Eghtesad, Sirui Li, Yevgeniy Vorobeychik, Aron Laszka

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

2403.03950 2024-03-07 cs.LG cs.AI stat.ML 73%

Stop Regressing: Training Value Functions via Classification for Scalable Deep RL

Jesse Farebrother, Jordi Orbay, Quan Vuong, Adrien Ali Taïga, Yevgen Chebotar, Ted Xiao, Alex Irpan, Sergey Levine, Pablo Samuel Castro, Aleksandra Faust, Aviral Kumar, Rishabh Agarwal

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

2402.15420 2024-02-26 cs.RO cs.CL cs.LG 73%

PREDILECT: Preferences Delineated with Zero-Shot Language-based Reasoning in Reinforcement Learning

Simon Holk, Daniel Marta, Iolanda Leite

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

Comments 8 pages, 8 Figures, 2 Tables

2312.02677 2024-02-26 cs.RO cs.AI 73%

Contact Energy Based Hindsight Experience Prioritization

Erdi Sayar, Zhenshan Bing, Carlo D'Eramo, Ozgur S. Oguz, Alois Knoll

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

2311.09195 2024-02-20 cs.LG cs.RO 73%

Self-Supervised Curriculum Generation for Autonomous Reinforcement Learning without Task-Specific Knowledge

Sang-Hyun Lee, Seung-Woo Seo

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

Comments 8 pages, 8 figures

2311.07558 2024-02-08 cs.LG cs.RO 73%

Data-Efficient Task Generalization via Probabilistic Model-based Meta Reinforcement Learning

Arjun Bhardwaj, Jonas Rothfuss, Bhavya Sukhija, Yarden As, Marco Hutter, Stelian Coros, Andreas Krause

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

2310.04676 2024-01-30 cs.RO cs.LG 73%

Surgical Gym: A high-performance GPU-based platform for reinforcement learning with surgical robots

Samuel Schmidgall, Axel Krieger, Jason Eshraghian

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

2305.17198 2024-01-19 cs.LG cs.AI cs.MA 73%

A Model-Based Solution to the Offline Multi-Agent Reinforcement Learning Coordination Problem

Paul Barde, Jakob Foerster, Derek Nowrouzezahrai, Amy Zhang

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

2307.08927 2024-01-17 cs.RO cs.AI 73%

Multi-Stage Cable Routing through Hierarchical Imitation Learning

Jianlan Luo, Charles Xu, Xinyang Geng, Gilbert Feng, Kuan Fang, Liam Tan, Stefan Schaal, Sergey Levine

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

Comments T-RO 2024

2312.09844 2023-12-20 cs.LG cs.AI 73%

Small Dataset, Big Gains: Enhancing Reinforcement Learning by Offline Pre-Training with Model Based Augmentation

Girolamo Macaluso, Alessandro Sestini, Andrew D. Bagdanov

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

2312.10557 2023-12-19 cs.RO cs.LG 73%

Improving Environment Robustness of Deep Reinforcement Learning Approaches for Autonomous Racing Using Bayesian Optimization-based Curriculum Learning

Rohan Banerjee, Prishita Ray, Mark Campbell

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

Comments Accepted to the IROS 2023 Workshop on Learning Robot Super Autonomy. The first two authors contributed equally

2312.10230 2023-12-19 cs.AI cs.LG 73%

Constrained Meta-Reinforcement Learning for Adaptable Safety Guarantee with Differentiable Convex Programming

Minjae Cho, Chuangchuang Sun

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

2101.11992 2023-12-14 cs.LG cs.AI 73%

Acting in Delayed Environments with Non-Stationary Markov Policies

Esther Derman, Gal Dalal, Shie Mannor

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

Comments Published in ICLR 2021

2311.15033 2023-11-28 cs.RO cs.AI 73%

Agent as Cerebrum, Controller as Cerebellum: Implementing an Embodied LMM-based Agent on Drones

Haoran Zhao, Fengxing Pan, Huqiuyue Ping, Yaoming Zhou

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

Comments 17 pages, 12 figures

2310.01827 2023-11-21 cs.RO cs.AI 73%

Learning and reusing primitive behaviours to improve Hindsight Experience Replay sample efficiency

Francisco Roldan Sanchez, Qiang Wang, David Cordova Bulens, Kevin McGuinness, Stephen Redmond, Noel O'Connor

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

Comments 6 pages, 2 figures, 1 algorithm, 1 table. Version accepted to ICARA 2024

2306.12392 2023-11-07 cs.RO cs.LG 73%

One-shot Imitation Learning via Interaction Warping

Ondrej Biza, Skye Thompson, Kishore Reddy Pagidi, Abhinav Kumar, Elise van der Pol, Robin Walters, Thomas Kipf, Jan-Willem van de Meent, Lawson L. S. Wong, Robert Platt

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

Comments CoRL 2023

2309.03839 2023-09-08 cs.RO cs.HC cs.LG 73%

Bootstrapping Adaptive Human-Machine Interfaces with Offline Reinforcement Learning

Jensen Gao, Siddharth Reddy, Glen Berseth, Anca D. Dragan, Sergey Levine

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

Comments Accepted to IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2023

2309.00837 2023-09-06 cs.LG cs.RO 73%

Autonomous Soft Tissue Retraction Using Demonstration-Guided Reinforcement Learning

Amritpal Singh, Wenqi Shi, May D Wang

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

Comments 10 Pages, 5 figures, MICCAI 2023 conference (AECAI workshop)

2110.02414 2023-08-10 cs.LG cs.RO 73%

Imaginary Hindsight Experience Replay: Curious Model-based Learning for Sparse Reward Tasks

Robert McCarthy, Qiang Wang, Stephen J. Redmond

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

2307.05405 2023-08-08 cs.RO cs.LG 73%

Boosting Feedback Efficiency of Interactive Reinforcement Learning by Adaptive Learning from Scores

Shukai Liu, Chenming Wu, Ying Li, Liangjun Zhang

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

Comments Accepted by IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2023)

2307.09692 2023-07-20 cs.LG cs.AI 73%

STRAPPER: Preference-based Reinforcement Learning via Self-training Augmentation and Peer Regularization

Yachen Kang, Li He, Jinxin Liu, Zifeng Zhuang, Donglin Wang

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

2306.02437 2023-06-06 cs.RO cs.LG 73%

Data Quality in Imitation Learning

Suneel Belkhale, Yuchen Cui, Dorsa Sadigh

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

2212.02179 2023-05-16 cs.LG cs.RO 73%

Physics-Informed Model-Based Reinforcement Learning

Adithya Ramesh, Balaraman Ravindran

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

2203.01387 2023-04-20 cs.LG cs.AI stat.ML 73%

A Survey on Offline Reinforcement Learning: Taxonomy, Review, and Open Problems

Rafael Figueiredo Prudencio, Marcos R. O. A. Maximo, Esther Luna Colombini

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

Comments 21 pages; Final version accepted to IEEE Transactions on Neural Networks and Learning Systems

2212.01509 2023-03-09 cs.RO cs.AI 73%

Reinforcement learning with Demonstrations from Mismatched Task under Sparse Reward

Yanjiang Guo, Jingyue Gao, Zheng Wu, Chengming Shi, Jianyu Chen

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

Comments 11 pages, 5 figures, CoRL 2022

2201.03834 2023-03-01 cs.LG cs.RO 73%

STIR$^2$: Reward Relabelling for combined Reinforcement and Imitation Learning on sparse-reward tasks

Jesus Bujalance Martin, Fabien Moutarde

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

Comments arXiv admin note: substantial text overlap with arXiv:2110.14464

2302.08738 2023-02-20 cs.RO cs.AI 73%

Exploiting Unlabeled Data for Feedback Efficient Human Preference based Reinforcement Learning

Mudit Verma, Siddhant Bhambri, Subbarao Kambhampati

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

Comments R2HCAI, AAAI 2023

2302.08734 2023-02-20 cs.AI cs.LG 73%

A State Augmentation based approach to Reinforcement Learning from Human Preferences

Mudit Verma, Subbarao Kambhampati

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

Comments R2HCAI, AAAI 2023

2211.04993 2023-01-16 cs.RO cs.AI 73%

RL-DWA Omnidirectional Motion Planning for Person Following in Domestic Assistance and Monitoring

Andrea Eirale, Mauro Martini, Marcello Chiaberge

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

2212.00906 2022-12-05 cs.RO cs.AI 73%

Karolos: An Open-Source Reinforcement Learning Framework for Robot-Task Environments

Christian Bitter, Timo Thun, Tobias Meisen

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

1. 模仿学习与强化学习 4111 篇

Multi-Agent Reinforcement Learning for Assessing False-Data Injection Attacks on Transportation Networks

Stop Regressing: Training Value Functions via Classification for Scalable Deep RL

PREDILECT: Preferences Delineated with Zero-Shot Language-based Reasoning in Reinforcement Learning

Contact Energy Based Hindsight Experience Prioritization

Self-Supervised Curriculum Generation for Autonomous Reinforcement Learning without Task-Specific Knowledge

Data-Efficient Task Generalization via Probabilistic Model-based Meta Reinforcement Learning

Surgical Gym: A high-performance GPU-based platform for reinforcement learning with surgical robots

A Model-Based Solution to the Offline Multi-Agent Reinforcement Learning Coordination Problem

Multi-Stage Cable Routing through Hierarchical Imitation Learning

Small Dataset, Big Gains: Enhancing Reinforcement Learning by Offline Pre-Training with Model Based Augmentation

Improving Environment Robustness of Deep Reinforcement Learning Approaches for Autonomous Racing Using Bayesian Optimization-based Curriculum Learning

Constrained Meta-Reinforcement Learning for Adaptable Safety Guarantee with Differentiable Convex Programming

Acting in Delayed Environments with Non-Stationary Markov Policies

Agent as Cerebrum, Controller as Cerebellum: Implementing an Embodied LMM-based Agent on Drones

Learning and reusing primitive behaviours to improve Hindsight Experience Replay sample efficiency

One-shot Imitation Learning via Interaction Warping

Bootstrapping Adaptive Human-Machine Interfaces with Offline Reinforcement Learning

Autonomous Soft Tissue Retraction Using Demonstration-Guided Reinforcement Learning

Imaginary Hindsight Experience Replay: Curious Model-based Learning for Sparse Reward Tasks

Boosting Feedback Efficiency of Interactive Reinforcement Learning by Adaptive Learning from Scores

STRAPPER: Preference-based Reinforcement Learning via Self-training Augmentation and Peer Regularization

Data Quality in Imitation Learning

Physics-Informed Model-Based Reinforcement Learning

A Survey on Offline Reinforcement Learning: Taxonomy, Review, and Open Problems

Reinforcement learning with Demonstrations from Mismatched Task under Sparse Reward

STIR$^2$: Reward Relabelling for combined Reinforcement and Imitation Learning on sparse-reward tasks

Exploiting Unlabeled Data for Feedback Efficient Human Preference based Reinforcement Learning

A State Augmentation based approach to Reinforcement Learning from Human Preferences

RL-DWA Omnidirectional Motion Planning for Person Following in Domestic Assistance and Monitoring

Karolos: An Open-Source Reinforcement Learning Framework for Robot-Task Environments