机器人 / 具身智能

FACET: Force-Adaptive Control via Impedance Reference Tracking for Legged Robots

Botian Xu, Haoyang Weng, Qingzhou Lu, Yang Gao, Huazhe Xu

机构 * Tsinghua University（清华大学） ； Shanghai Qizhi Institute（上海启芝研究院） ； Shanghai AI Lab（上海人工智能实验室） 纠错

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

Drama: Mamba-Enabled Model-Based Reinforcement Learning Is Sample and Parameter Efficient

Wenlong Wang, Ivana Dusparic, Yucheng Shi, Ke Zhang, Vinny Cahill

机构 * School of Computer Science and Statistics（计算机科学与统计学系） 纠错

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

Comments Published as a conference paper at ICLR 2025

Conformalized Interactive Imitation Learning: Handling Expert Shift and Intermittent Feedback

Michelle Zhao, Reid Simmons, Henny Admoni, Aaditya Ramdas, Andrea Bajcsy

机构 * Robotics Institute, School of Computer Science, Carnegie Mellon University（机器人研究所、计算机科学学院、卡内基梅隆大学） ； Departments of Statistics and Machine Learning, Carnegie Mellon University（统计学与机器学习系、卡内基梅隆大学） 纠错

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

RILe: Reinforced Imitation Learning

Mert Albaba, Sammy Christen, Thomas Langarek, Christoph Gebhardt, Otmar Hilliges, Michael J. Black

机构 * ETH Zürich（苏黎世联邦理工学院） ； Max Planck Institute for Intelligent Systems（智能系统马克斯·普朗克研究所） 纠错

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

H2O+: An Improved Framework for Hybrid Offline-and-Online RL with Dynamics Gaps

Haoyi Niu, Tianying Ji, Bingqi Liu, Haocheng Zhao, Xiangyu Zhu, Jianying Zheng, Pengfei Huang, Guyue Zhou, Jianming Hu, Xianyuan Zhan

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

Comments ICRA 2025

Fast Adaptation with Behavioral Foundation Models

Harshit Sikchi, Andrea Tirinzoni, Ahmed Touati, Yingchen Xu, Anssi Kanervisto, Scott Niekum, Amy Zhang, Alessandro Lazaric, Matteo Pirotta

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

Comments 25 pages

Learning global control of underactuated systems with Model-Based Reinforcement Learning

Niccolò Turcato, Marco Calì, Alberto Dalla Libera, Giulio Giacomuzzo, Ruggero Carli, Diego Romeres

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

Comments arXiv admin note: substantial text overlap with arXiv:2409.05811

Leveraging Sub-Optimal Data for Human-in-the-Loop Reinforcement Learning

Calarina Muslimani, Matthew E. Taylor

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

Multi-Agent Inverse Reinforcement Learning in Real World Unstructured Pedestrian Crowds

Rohan Chandra, Haresh Karnan, Negar Mehr, Peter Stone, Joydeep Biswas

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

CarPlanner: Consistent Auto-regressive Trajectory Planning for Large-scale Reinforcement Learning in Autonomous Driving

Dongkun Zhang, Jiaming Liang, Ke Guo, Sha Lu, Qi Wang, Rong Xiong, Zhenwei Miao, Yue Wang

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

Comments CVPR 2025

MARLadona -- Towards Cooperative Team Play Using Multi-Agent Reinforcement Learning

Zichong Li, Filip Bjelonic, Victor Klemm, Marco Hutter

专题命中 模仿学习与强化学习 ：robotics(abstract)；manipulation(abstract)

Comments Version presented at ICRA 2025

VARP: Reinforcement Learning from Vision-Language Model Feedback with Agent Regularized Preferences

Anukriti Singh, Amisha Bhaskar, Peihong Yu, Souradip Chakraborty, Ruthwik Dasyam, Amrit Bedi, Pratap Tokekar

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

Comments 8 pages

Edge AI-Powered Real-Time Decision-Making for Autonomous Vehicles in Adverse Weather Conditions

Milad Rahmati

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

Mobile-TeleVision: Predictive Motion Priors for Humanoid Whole-Body Control

Chenhao Lu, Xuxin Cheng, Jialong Li, Shiqi Yang, Mazeyu Ji, Chengjing Yuan, Ge Yang, Sha Yi, Xiaolong Wang

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

Comments Accepted for ICRA 2025

A Survey of Sim-to-Real Methods in RL: Progress, Prospects and Challenges with Foundation Models

Longchao Da, Justin Turnau, Thirulogasankar Pranav Kutralingam, Alvaro Velasquez, Paulo Shakarian, Hua Wei

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

Comments 19 pages, 6 figures, 5 tables

Data-Efficient Learning from Human Interventions for Mobile Robots

Zhenghao Peng, Zhizheng Liu, Bolei Zhou

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

Comments ICRA 2025. Webpage: https://metadriverse.github.io/pvp4real/

Select before Act: Spatially Decoupled Action Repetition for Continuous Control

Buqing Nie, Yangqing Fu, Yue Gao

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

Comments ICLR 2025

A Survey of Reinforcement Learning for Optimization in Automation

Ahmad Farooq, Kamran Iqbal

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

Comments 8 pages, 4 tables, and 1 figure. Accepted at IEEE 20th International Conference on Automation Science and Engineering (CASE) 2024

Journal ref 2024 IEEE 20th International Conference on Automation Science and Engineering (CASE), Bari, Italy, 2024, pp. 2487-2494

Robust Gymnasium: A Unified Modular Benchmark for Robust Reinforcement Learning

Shangding Gu, Laixi Shi, Muning Wen, Ming Jin, Eric Mazumdar, Yuejie Chi, Adam Wierman, Costas Spanos

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

Together We Rise: Optimizing Real-Time Multi-Robot Task Allocation using Coordinated Heterogeneous Plays

Aritra Pal, Anandsingh Chauhan, Mayank Baranwal

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

Comments Accepted to AAMAS 2025 (AAAI Track)

AlphaMaze: Enhancing Large Language Models' Spatial Intelligence via GRPO

Alan Dao, Dinh Bach Vu

专题命中 模仿学习与强化学习 ：robotics(abstract)；navigation(abstract)

DexterityGen: Foundation Controller for Unprecedented Dexterity

Zhao-Heng Yin, Changhao Wang, Luis Pineda, Francois Hogan, Krishna Bodduluri, Akash Sharma, Patrick Lancaster, Ishita Prasad, Mrinal Kalakrishnan, Jitendra Malik, Mike Lambeta, Tingfan Wu, Pieter Abbeel, Mustafa Mukadam

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

Comments Project: https://zhaohengyin.github.io/dexteritygen

DIAL: Distribution-Informed Adaptive Learning of Multi-Task Constraints for Safety-Critical Systems

Se-Wook Yoo, Seung-Woo Seo

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

Comments 16 pages, 14 figures, 6 tables, submission to T-RO in 2024

Constraints as Rewards: Reinforcement Learning for Robots without Reward Functions

Yu Ishihara, Noriaki Takasugi, Kotaro Kawakami, Masaya Kinoshita, Kazumi Aoyama

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

The intrinsic motivation of reinforcement and imitation learning for sequential tasks

Sao Mai Nguyen

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

Comments Habilitation thesis

Policy Decorator: Model-Agnostic Online Refinement for Large Policy Model

Xiu Yuan, Tongzhou Mu, Stone Tao, Yunhao Fang, Mengke Zhang, Hao Su

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

Comments Explore videos, data, code, and more at https://policydecorator.github.io

Meta-Controller: Few-Shot Imitation of Unseen Embodiments and Tasks in Continuous Control

Seongwoong Cho, Donggyun Kim, Jinwoo Lee, Seunghoon Hong

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

Comments NeurIPS 2024

Learning to Navigate in Mazes with Novel Layouts using Abstract Top-down Maps

Linfeng Zhao, Lawson L. S. Wong

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

Comments Published at Reinforcement Learning Conference (RLC) 2024. Website: http://lfzhao.com/map-nav/

Journal ref Journal-ref: Reinforcement Learning Journal, Volume 5, 2024, Pages 2359-2372

Optimizing Sensor Redundancy in Sequential Decision-Making Problems

Jonas Nüßlein, Maximilian Zorn, Fabian Ritz, Jonas Stein, Gerhard Stenzel, Julian Schönberger, Thomas Gabor, Claudia Linnhoff-Popien

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

Comments Accepted at ICAART conference 2025

Privacy Risks in Reinforcement Learning for Household Robots

Miao Li, Wenhao Ding, Ding Zhao

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

Comments 7 pages, 4 figures, 2 tables