机器人 / 具身智能 - arXivDaily 专题

2407.16220 2024-07-24 cs.AI cs.LG 62%

ODGR: Online Dynamic Goal Recognition

Matan Shamir, Osher Elhadad, Matthew E. Taylor, Reuth Mirsky

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

Comments 8 pages, 1 figure, RLC workshop, WAHT workshop

2407.15626 2024-07-23 cs.CV cs.RO 62%

Reinforcement Learning Meets Visual Odometry

Nico Messikommer, Giovanni Cioffi, Mathias Gehrig, Davide Scaramuzza

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

Journal ref European Conference on Computer Vision (ECCV 2024)

2405.19883 2024-07-23 cs.LG cs.AI cs.CL 62%

From Words to Actions: Unveiling the Theoretical Underpinnings of LLM-Driven Autonomous Systems

Jianliang He, Siyu Chen, Fengzhuo Zhang, Zhuoran Yang

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

Comments 47 pages, accepted by ICML 2024

2407.12437 2024-07-18 cs.LG cs.AI 62%

Variable-Agnostic Causal Exploration for Reinforcement Learning

Minh Hoang Nguyen, Hung Le, Svetha Venkatesh

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

2312.01203 2024-07-16 cs.LG cs.AI 62%

Harnessing Discrete Representations For Continual Reinforcement Learning

Edan Meyer, Adam White, Marlos C. Machado

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

Comments 23 pages, 16 figures, accepted to RLC 2024

2407.09415 2024-07-15 cs.AI cs.LG 62%

A Benchmark Environment for Offline Reinforcement Learning in Racing Games

Girolamo Macaluso, Alessandro Sestini, Andrew D. Bagdanov

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

Comments Accepted at IEEE Conference on Games

2305.12751 2024-07-15 cs.SE cs.AI cs.LG 62%

Testing of Deep Reinforcement Learning Agents with Surrogate Models

Matteo Biagiola, Paolo Tonella

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

Journal ref Trans. Softw. Eng. Methodol. 33, 3, Article 73 (March 2024)

2304.05008 2024-07-09 cs.LG cs.AI 62%

Habits and goals in synergy: a variational Bayesian framework for behavior

Dongqi Han, Kenji Doya, Dongsheng Li, Jun Tani

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

Journal ref Nat Commun 15, 4461 (2024)

2407.04803 2024-07-09 cs.LG cs.AI 62%

The Impact of Quantization and Pruning on Deep Reinforcement Learning Models

Heng Lu, Mehdi Alemi, Reza Rawassizadeh

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

2308.15143 2024-07-09 cs.RO cs.AI 62%

Lifelike Agility and Play in Quadrupedal Robots using Reinforcement Learning and Generative Pre-trained Models

Lei Han, Qingxu Zhu, Jiapeng Sheng, Chong Zhang, Tingguang Li, Yizheng Zhang, He Zhang, Yuzhen Liu, Cheng Zhou, Rui Zhao, Jie Li, Yufeng Zhang, Rui Wang, Wanchao Chi, Xiong Li, Yonghui Zhu, Lingzhu Xiang, Xiao Teng, Zhengyou Zhang

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

Comments Published in Nature Machine Intelligence, Vol. 7, 2024

Journal ref Nature Machine Intelligence, Vol. 7, 2024

2407.04343 2024-07-08 cs.RO cs.LG 62%

Enhancing Safety for Autonomous Agents in Partly Concealed Urban Traffic Environments Through Representation-Based Shielding

Pierre Haritz, David Wanke, Thomas Liebig

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

2402.04894 2024-07-08 cs.RO cs.LG 62%

Deep Reinforcement Learning with Dynamic Graphs for Adaptive Informative Path Planning

Apoorva Vashisth, Julius Rückin, Federico Magistri, Cyrill Stachniss, Marija Popović

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

Comments 8 pages, 6 figures

2407.02231 2024-07-03 cs.RO cs.LG 62%

Safety-Driven Deep Reinforcement Learning Framework for Cobots: A Sim2Real Approach

Ammar N. Abbas, Shakra Mehak, Georgios C. Chasparis, John D. Kelleher, Michael Guilfoyle, Maria Chiara Leva, Aswin K Ramasubramanian

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

Comments This paper has been accepted for publication in the proceedings of the IEEE/IFAC International Conference on Control, Decision, and Information Technologies (CoDIT), 2024

2406.20083 2024-07-01 cs.RO cs.CV 62%

PoliFormer: Scaling On-Policy RL with Transformers Results in Masterful Navigators

Kuo-Hao Zeng, Zichen Zhang, Kiana Ehsani, Rose Hendrix, Jordi Salvador, Alvaro Herrasti, Ross Girshick, Aniruddha Kembhavi, Luca Weihs

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

2406.08854 2024-06-14 cs.LG cs.AI 62%

Current applications and potential future directions of reinforcement learning-based Digital Twins in agriculture

Georg Goldenits, Kevin Mallinger, Sebastian Raubitzek, Thomas Neubauer

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

2406.08238 2024-06-13 cs.LG cs.RO 62%

Residual Learning and Context Encoding for Adaptive Offline-to-Online Reinforcement Learning

Mohammadreza Nakhaei, Aidan Scannell, Joni Pajarinen

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

Comments 10 pages, 5 figures, 1 table. Accepted at L4DC 2024

2306.16978 2024-06-10 cs.RO cs.LG cs.SY eess.SY 62%

Learning Coverage Paths in Unknown Environments with Deep Reinforcement Learning

Arvi Jonnarth, Jie Zhao, Michael Felsberg

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

Comments Accepted to the 41st International Conference on Machine Learning (ICML), 2024

2406.02764 2024-06-06 cs.LG cs.AI 62%

Adaptive Preference Scaling for Reinforcement Learning with Human Feedback

Ilgee Hong, Zichong Li, Alexander Bukharin, Yixiao Li, Haoming Jiang, Tianbao Yang, Tuo Zhao

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

2406.02598 2024-06-06 cs.LG cs.AI 62%

Towards Learning Foundation Models for Heuristic Functions to Solve Pathfinding Problems

Vedant Khandelwal, Amit Sheth, Forest Agostinelli

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

2405.03878 2024-06-05 cs.LG cs.AI 62%

Sequence Compression Speeds Up Credit Assignment in Reinforcement Learning

Aditya A. Ramesh, Kenny Young, Louis Kirsch, Jürgen Schmidhuber

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

Comments ICML 2024 version

2405.00516 2024-05-31 cs.LG cs.AI cs.CL 62%

Navigating WebAI: Training Agents to Complete Web Tasks with Large Language Models and Reinforcement Learning

Lucas-Andreï Thil, Mirela Popa, Gerasimos Spanakis

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

Comments ACM 2024, Avila Spain. 9 pages

Journal ref Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing, 2024

2405.19080 2024-05-30 cs.LG cs.AI 62%

OMPO: A Unified Framework for RL under Policy and Dynamics Shifts

Yu Luo, Tianying Ji, Fuchun Sun, Jianwei Zhang, Huazhe Xu, Xianyuan Zhan

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

2403.20016 2024-05-29 cs.RO cs.LG 62%

EnCoMP: Enhanced Covert Maneuver Planning with Adaptive Threat-Aware Visibility Estimation using Offline Reinforcement Learning

Jumman Hossain, Abu-Zaher Faridee, Nirmalya Roy, Jade Freeman, Timothy Gregory, Theron T. Trout

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

Comments Paper under review

2405.16739 2024-05-28 cs.LG cs.AI cs.SY eess.SY 62%

Oracle-Efficient Reinforcement Learning for Max Value Ensembles

Marcel Hussing, Michael Kearns, Aaron Roth, Sikata Bela Sengupta, Jessica Sorrell

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

2405.16390 2024-05-28 cs.AI cs.LG 62%

Safe and Balanced: A Framework for Constrained Multi-Objective Reinforcement Learning

Shangding Gu, Bilgehan Sel, Yuhao Ding, Lu Wang, Qingwei Lin, Alois Knoll, Ming Jin

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

2405.16335 2024-05-28 cs.RO cs.LG 62%

RoboArm-NMP: a Learning Environment for Neural Motion Planning

Tom Jurgenson, Matan Sudry, Gal Avineri, Aviv Tamar

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

2402.13777 2024-05-28 cs.LG cs.AI 62%

Deep Generative Models for Offline Policy Learning: Tutorial, Survey, and Perspectives on Future Directions

Jiayu Chen, Bhargav Ganguly, Yang Xu, Yongsheng Mei, Tian Lan, Vaneet Aggarwal

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

Comments We restructured the paper and added more discussion

2205.10330 2024-05-28 cs.AI cs.LG 62%

A Review of Safe Reinforcement Learning: Methods, Theory and Applications

Shangding Gu, Long Yang, Yali Du, Guang Chen, Florian Walter, Jun Wang, Alois Knoll

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

2311.02198 2024-05-22 cs.LG cs.AI 62%

Imitation Bootstrapped Reinforcement Learning

Hengyuan Hu, Suvir Mirchandani, Dorsa Sadigh

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

2405.07603 2024-05-14 cs.RO cs.AI 62%

Reducing Risk for Assistive Reinforcement Learning Policies with Diffusion Models

Andrii Tytarenko

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

1. 模仿学习与强化学习 4115 篇

ODGR: Online Dynamic Goal Recognition

Reinforcement Learning Meets Visual Odometry

From Words to Actions: Unveiling the Theoretical Underpinnings of LLM-Driven Autonomous Systems

Variable-Agnostic Causal Exploration for Reinforcement Learning

Harnessing Discrete Representations For Continual Reinforcement Learning

A Benchmark Environment for Offline Reinforcement Learning in Racing Games

Testing of Deep Reinforcement Learning Agents with Surrogate Models

Habits and goals in synergy: a variational Bayesian framework for behavior

The Impact of Quantization and Pruning on Deep Reinforcement Learning Models

Lifelike Agility and Play in Quadrupedal Robots using Reinforcement Learning and Generative Pre-trained Models

Enhancing Safety for Autonomous Agents in Partly Concealed Urban Traffic Environments Through Representation-Based Shielding

Deep Reinforcement Learning with Dynamic Graphs for Adaptive Informative Path Planning

Safety-Driven Deep Reinforcement Learning Framework for Cobots: A Sim2Real Approach

PoliFormer: Scaling On-Policy RL with Transformers Results in Masterful Navigators

Current applications and potential future directions of reinforcement learning-based Digital Twins in agriculture

Residual Learning and Context Encoding for Adaptive Offline-to-Online Reinforcement Learning

Learning Coverage Paths in Unknown Environments with Deep Reinforcement Learning

Adaptive Preference Scaling for Reinforcement Learning with Human Feedback

Towards Learning Foundation Models for Heuristic Functions to Solve Pathfinding Problems

Sequence Compression Speeds Up Credit Assignment in Reinforcement Learning

Navigating WebAI: Training Agents to Complete Web Tasks with Large Language Models and Reinforcement Learning

OMPO: A Unified Framework for RL under Policy and Dynamics Shifts

EnCoMP: Enhanced Covert Maneuver Planning with Adaptive Threat-Aware Visibility Estimation using Offline Reinforcement Learning

Oracle-Efficient Reinforcement Learning for Max Value Ensembles

Safe and Balanced: A Framework for Constrained Multi-Objective Reinforcement Learning

RoboArm-NMP: a Learning Environment for Neural Motion Planning

Deep Generative Models for Offline Policy Learning: Tutorial, Survey, and Perspectives on Future Directions

A Review of Safe Reinforcement Learning: Methods, Theory and Applications

Imitation Bootstrapped Reinforcement Learning

Reducing Risk for Assistive Reinforcement Learning Policies with Diffusion Models