机器人 / 具身智能

Skill-based Safe Reinforcement Learning with Risk Planning

Hanping Zhang, Yuhong Guo

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

When to Localize? A Risk-Constrained Reinforcement Learning Approach

Chak Lam Shek, Kasra Torshizi, Troi Williams, Pratap Tokekar

机构 * University of Maryland, College Park（马里兰大学学院公园分校） 纠错

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

Three-Factor Learning in Spiking Neural Networks: An Overview of Methods and Trends from a Machine Learning Perspective

Szymon Mazurek, Jakub Caputa, Jan K. Argasiński, Maciej Wielgosz

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

Comments Pre-print

Motion Control in Multi-Rotor Aerial Robots Using Deep Reinforcement Learning

Gaurav Shetty, Mahya Ramezani, Hamed Habibi, Holger Voos, Jose Luis Sanchez-Lopez

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

Hyperparameter Optimisation with Practical Interpretability and Explanation Methods in Probabilistic Curriculum Learning

Llewyn Salt, Marcus Gallagher

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

Decision SpikeFormer: Spike-Driven Transformer for Decision Making

Wei Huang, Qinying Gu, Nanyang Ye

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

Comments This work has been accepted to CVPR 2025

Probabilistic Curriculum Learning for Goal-Based Reinforcement Learning

Llewyn Salt, Marcus Gallagher

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

Inverse RL Scene Dynamics Learning for Nonlinear Predictive Control in Autonomous Vehicles

Sorin Grigorescu, Mihai Zaha

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

Comments 21 pages, 14 figures, journal paper

Journal ref IEEE Transactions on Neural Networks and Learning Systems, 2025

Learning Multi-Robot Coordination through Locality-Based Factorized Multi-Agent Actor-Critic Algorithm

Chak Lam Shek, Amrit Singh Bedi, Anjon Basak, Ellen Novoseller, Nick Waytowich, Priya Narayanan, Dinesh Manocha, Pratap Tokekar

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

State-Aware Perturbation Optimization for Robust Deep Reinforcement Learning

Zongyuan Zhang, Tianyang Duan, Zheng Lin, Dong Huang, Zihan Fang, Zekai Sun, Ling Xiong, Hongbin Liang, Heming Cui, Yong Cui

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

Comments 15 pages, 11 figures

Abstracting Geo-specific Terrains to Scale Up Reinforcement Learning

Volkan Ustun, Soham Hans, Rajay Kumar, Yunzhe Wang

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

Comments 10 pages, 6 figures, 2024 Interservice/Industry Training, Simulation, and Education Conference (I/ITSEC)

Option Discovery Using LLM-guided Semantic Hierarchical Reinforcement Learning

Chak Lam Shek, Pratap Tokekar

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

TamedPUMA: safe and stable imitation learning with geometric fabrics

Saray Bakker, Rodrigo Pérez-Dattari, Cosimo Della Santina, Wendelin Böhmer, Javier Alonso-Mora

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

Comments 14 pages (10+4), 1+3*5 figures, 1 table, preprint version of accepted paper at L4DC 2025

Cross-domain Random Pre-training with Prototypes for Reinforcement Learning

Xin Liu, Yaran Chen, Haoran Li, Boyu Li, Dongbin Zhao

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

Comments This work has been submitted to the IEEE for possible publication

IMRL: Integrating Visual, Physical, Temporal, and Geometric Representations for Enhanced Food Acquisition

Rui Liu, Zahiruddin Mahammad, Amisha Bhaskar, Pratap Tokekar

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

HybridGen: VLM-Guided Hybrid Planning for Scalable Data Generation of Imitation Learning

Wensheng Wang, Ning Tan

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

TOP-ERL: Transformer-based Off-Policy Episodic Reinforcement Learning

Ge Li, Dong Tian, Hongyi Zhou, Xinkai Jiang, Rudolf Lioutikov, Gerhard Neumann

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

Comments Accepted as a Spotlight at ICLR 2025

Journal ref The Thirteenth International Conference on Learning Representations (ICLR) 2025

Dynamic Obstacle Avoidance with Bounded Rationality Adversarial Reinforcement Learning

Jose-Luis Holgado-Alvarez, Aryaman Reddi, Carlo D'Eramo

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

Emergent Abilities in Large Language Models: A Survey

Leonardo Berti, Flavio Giorgi, Gjergji Kasneci

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

Reduce, Reuse, Recycle: Categories for Compositional Reinforcement Learning

Georgios Bakirtzis, Michail Savvas, Ruihan Zhao, Sandeep Chinchali, Ufuk Topcu

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

Comments ECAI 2024

MoRE: Unlocking Scalability in Reinforcement Learning for Quadruped Vision-Language-Action Models

Han Zhao, Wenxuan Song, Donglin Wang, Xinyang Tong, Pengxiang Ding, Xuelian Cheng, Zongyuan Ge

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

Comments Accepted by ICRA 2025

Generalizable Imitation Learning Through Pre-Trained Representations

Wei-Di Chang, Francois Hogan, Scott Fujimoto, David Meger, Gregory Dudek

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

Comments ICRA 2025 Version

How to Train Your Robots? The Impact of Demonstration Modality on Imitation Learning

Haozhuo Li, Yuchen Cui, Dorsa Sadigh

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

Comments 8 pages, ICRA

Revisiting Early Detection of Sexual Predators via Turn-level Optimization

Jinmyeong An, Sangwon Ryu, Heejin Do, Yunsu Kim, Jungseul Ok, Gary Geunbae Lee

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

Comments Accepted as a main conference paper at NAACL 2025

Multi-Robot Collaboration through Reinforcement Learning and Abstract Simulation

Adam Labiosa, Josiah P. Hanna

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

Comments ICRA 2025

LLM Misalignment via Adversarial RLHF Platforms

Erfan Entezami, Ali Naseh

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

FABG : End-to-end Imitation Learning for Embodied Affective Human-Robot Interaction

Yanghai Zhang, Changyi Liu, Keting Fu, Wenbin Zhou, Qingdu Li, Jianwei Zhang

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

Comments Project website: https://cybergenies.github.io

Differentiable Information Enhanced Model-Based Reinforcement Learning

Xiaoyuan Zhang, Xinyan Cai, Bo Liu, Weidong Huang, Song-Chun Zhu, Siyuan Qi, Yaodong Yang

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

Comments Accepted by AAAI 2025

Ground contact and reaction force sensing for linear policy control of quadruped robot

Harshita Mhaske, Aniket Mandhare, Jidong Huang, Yu Bai

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

Comments 5 pages, 11 figures

Kinetix: Investigating the Training of General Agents through Open-Ended Physics-Based Control Tasks

Michael Matthews, Michael Beukman, Chris Lu, Jakob Foerster

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

Comments ICLR 2025 Oral. The first two authors contributed equally. Project page located at: https://kinetix-env.github.io/