机器人 / 具身智能 - arXivDaily 专题

2206.01311 2023-05-01 cs.LG 57%

Learning Soft Constraints From Constrained Expert Demonstrations

Ashish Gaurav, Kasra Rezaee, Guiliang Liu, Pascal Poupart

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

Comments ICLR 2023 camera ready version (incl. supplementary material)

2304.12502 2023-04-26 cs.LG cs.IT eess.SP math.IT stat.ME 57%

Causal Semantic Communication for Digital Twins: A Generalizable Imitation Learning Approach

Christo Kurisummoottil Thomas, Walid Saad, Yong Xiao

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

2304.09996 2023-04-21 cs.RO 57%

Robust Route Planning with Distributional Reinforcement Learning in a Stochastic Road Network Environment

Xi Lin, Paul Szenher, John D. Martin, Brendan Englot

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

Comments The 20th International Conference on Ubiquitous Robots (UR 2023)

2206.02462 2023-04-21 cs.RO 57%

Achieving Goals using Reward Shaping and Curriculum Learning

Mihai Anca, Jonathan D. Thomas, Dabal Pedamonti, Matthew Studley, Mark Hansen

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

Comments To be published at Future Technologies Conference (FTC) 2023

2210.00596 2023-04-20 cs.LG 57%

Policy Gradients for Probabilistic Constrained Reinforcement Learning

Weiqin Chen, Dharmashankar Subramanian, Santiago Paternain

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

2304.05271 2023-04-12 cs.AI 57%

Automaton-Guided Curriculum Generation for Reinforcement Learning Agents

Yash Shukla, Abhishek Kulkarni, Robert Wright, Alvaro Velasquez, Jivko Sinapov

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

Comments To be presented at The International Conference on Automated Planning and Scheduling (ICAPS) 2023

2304.00026 2023-04-04 cs.LG 57%

Understanding Reinforcement Learning Algorithms: The Progress from Basic Q-learning to Proximal Policy Optimization

Mohamed-Amine Chadi, Hajar Mousannif

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

2303.16427 2023-03-30 cs.RO 57%

Learning Excavation of Rigid Objects with Offline Reinforcement Learning

Shiyu Jin, Zhixian Ye, Liangjun Zhang

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

Comments Submitted to IROS 2023

2303.16194 2023-03-29 cs.LG 57%

BC-IRL: Learning Generalizable Reward Functions from Demonstrations

Andrew Szot, Amy Zhang, Dhruv Batra, Zsolt Kira, Franziska Meier

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

2303.11191 2023-03-21 cs.LG 57%

A Survey of Demonstration Learning

André Correia, Luís A. Alexandre

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

Comments 35 pages, 9 figures

2303.08745 2023-03-16 eess.SY cs.RO cs.SY 57%

Real-Time Measurement-Driven Reinforcement Learning Control Approach for Uncertain Nonlinear Systems

Mohammed Abouheaf, Derek Boase, Wail Gueaieb, Davide Spinello, Salah Al-Sharhan

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

Comments 15 pages

Journal ref Engineering Applications of Artificial Intelligence (Elsevier), vol. 122, June 2023

2303.02215 2023-03-07 cs.RO 57%

Learning Stabilization Control from Observations by Learning Lyapunov-like Proxy Models

Milan Ganai, Chiaki Hirayama, Ya-Chien Chang, Sicun Gao

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

Comments ICRA 2023

2109.13338 2023-03-02 cs.RO 57%

Solving Challenging Control Problems Using Two-Staged Deep Reinforcement Learning

Nitish Sontakke, Sehoon Ha

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

Comments The supplemental video can be found at: https://youtu.be/FYLo1Ov_8-g

2302.14242 2023-03-01 cs.RO 57%

Learning Sparse Control Tasks from Pixels by Latent Nearest-Neighbor-Guided Explorations

Ruihan Zhao, Ufuk Topcu, Sandeep Chinchali, Mariano Phielipp

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

2302.13328 2023-02-28 cs.RO 57%

Reinforcement Learning Based Pushing and Grasping Objects from Ungraspable Poses

Hao Zhang, Hongzhuo Liang, Lin Cong, Jianzhi Lyu, Long Zeng, Pingfa Feng, Jianwei Zhang

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

Comments Accepted by ICRA 2023; Project page https://haozhang990127.github.io/PaG/

2209.05738 2023-02-28 cs.RO cs.MA 57%

RTAW: An Attention Inspired Reinforcement Learning Method for Multi-Robot Task Allocation in Warehouse Environments

Aakriti Agrawal, Amrit Singh Bedi, Dinesh Manocha

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

Journal ref ICRA 2023

2302.09522 2023-02-21 cs.CV 57%

Interactive Video Corpus Moment Retrieval using Reinforcement Learning

Zhixin Ma, Chong-Wah Ngo

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

Comments Accepted by ACM Multimedia 2022

Journal ref Proceedings of the 30th ACM International Conference on Multimedia (2022) 296-306

2301.13072 2023-01-31 cs.RO 57%

Guided Deep Reinforcement Learning for Articulated Swimming Robots

Jiaheng Hu, Tony Dear

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

1910.08412 2023-01-31 cs.LG math.OC stat.ML 57%

On the Sample Complexity of Actor-Critic Method for Reinforcement Learning with Function Approximation

Harshat Kumar, Alec Koppel, Alejandro Ribeiro

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

2301.09770 2023-01-25 cs.AI 57%

Language-guided Task Adaptation for Imitation Learning

Prasoon Goyal, Raymond J. Mooney, Scott Niekum

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

2301.05981 2023-01-18 cs.LG math.OC 57%

Risk-Averse Reinforcement Learning via Dynamic Time-Consistent Risk Measures

Xian Yu, Siqian Shen

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

Journal ref 2022 IEEE 61st Conference on Decision and Control (CDC), Cancun, Mexico, 2022, pp. 2307-2312

2102.09161 2023-01-18 cs.LG cs.SY eess.SY 57%

On the Sample Complexity of Stability Constrained Imitation Learning

Stephen Tu, Alexander Robey, Tingnan Zhang, Nikolai Matni

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

2010.08506 2023-01-12 cs.RO 57%

Direct Policy Optimization using Deterministic Sampling and Collocation

Taylor A. Howell, Chunjiang Fu, Zachary Manchester

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

Comments Minor fixes

2212.13819 2022-12-29 cs.AI 57%

Don't do it: Safer Reinforcement Learning With Rule-based Guidance

Ekaterina Nikonova, Cheng Xue, Jochen Renz

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

2212.12735 2022-12-27 cs.LG 57%

An Adaptive Deep RL Method for Non-Stationary Environments with Piecewise Stable Context

Xiaoyu Chen, Xiangming Zhu, Yufeng Zheng, Pushi Zhang, Li Zhao, Wenxue Cheng, Peng Cheng, Yongqiang Xiong, Tao Qin, Jianyu Chen, Tie-Yan Liu

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

Comments NeurIPS 2022

2212.08860 2022-12-20 cs.LG 57%

Pre-Trained Image Encoder for Generalizable Visual Reinforcement Learning

Zhecheng Yuan, Zhengrong Xue, Bo Yuan, Xueqian Wang, Yi Wu, Yang Gao, Huazhe Xu

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

2206.13441 2022-12-13 cs.AI cs.SY eess.SY 57%

EMVLight: a Multi-agent Reinforcement Learning Framework for an Emergency Vehicle Decentralized Routing and Traffic Signal Control System

Haoran Su, Yaofeng D. Zhong, Joseph Y. J. Chow, Biswadip Dey, Li Jin

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

Comments 19 figures, 10 tables. Manuscript extended on previous work arXiv:2109.05429, arXiv:2111.00278

Journal ref Transportation Research Part C: Emerging Technologies Volume 146, January 2023, 103955

2203.09844 2022-12-09 cs.RO 57%

Reinforcement Learning based Voice Interaction to Clear Path for Robots in Elevator Environment

Wanli Ma, Xinyi Gao, Jianwei Shi, Hao Hu, Chaoyang Wang, Yanxue Liang, Oktay Karakus

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

2211.16315 2022-11-30 cs.LG 57%

Learning and Understanding a Disentangled Feature Representation for Hidden Parameters in Reinforcement Learning

Christopher Reale, Rebecca Russell

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

Comments Appears in Proceedings of AAAI FSS-22 Symposium "Lessons Learned for Autonomous Assessment of Machine Abilities (LLAAMA)"

2211.12774 2022-11-24 cs.LG 57%

Prototypical context-aware dynamics generalization for high-dimensional model-based reinforcement learning

Junjie Wang, Yao Mu, Dong Li, Qichao Zhang, Dongbin Zhao, Yuzheng Zhuang, Ping Luo, Bin Wang, Jianye Hao

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

1. 模仿学习与强化学习 4134 篇

Learning Soft Constraints From Constrained Expert Demonstrations

Causal Semantic Communication for Digital Twins: A Generalizable Imitation Learning Approach

Robust Route Planning with Distributional Reinforcement Learning in a Stochastic Road Network Environment

Achieving Goals using Reward Shaping and Curriculum Learning

Policy Gradients for Probabilistic Constrained Reinforcement Learning

Automaton-Guided Curriculum Generation for Reinforcement Learning Agents

Understanding Reinforcement Learning Algorithms: The Progress from Basic Q-learning to Proximal Policy Optimization

Learning Excavation of Rigid Objects with Offline Reinforcement Learning

BC-IRL: Learning Generalizable Reward Functions from Demonstrations

A Survey of Demonstration Learning

Real-Time Measurement-Driven Reinforcement Learning Control Approach for Uncertain Nonlinear Systems

Learning Stabilization Control from Observations by Learning Lyapunov-like Proxy Models

Solving Challenging Control Problems Using Two-Staged Deep Reinforcement Learning

Learning Sparse Control Tasks from Pixels by Latent Nearest-Neighbor-Guided Explorations

Reinforcement Learning Based Pushing and Grasping Objects from Ungraspable Poses

RTAW: An Attention Inspired Reinforcement Learning Method for Multi-Robot Task Allocation in Warehouse Environments

Interactive Video Corpus Moment Retrieval using Reinforcement Learning

Guided Deep Reinforcement Learning for Articulated Swimming Robots

On the Sample Complexity of Actor-Critic Method for Reinforcement Learning with Function Approximation

Language-guided Task Adaptation for Imitation Learning

Risk-Averse Reinforcement Learning via Dynamic Time-Consistent Risk Measures

On the Sample Complexity of Stability Constrained Imitation Learning

Direct Policy Optimization using Deterministic Sampling and Collocation

Don't do it: Safer Reinforcement Learning With Rule-based Guidance

An Adaptive Deep RL Method for Non-Stationary Environments with Piecewise Stable Context

Pre-Trained Image Encoder for Generalizable Visual Reinforcement Learning

EMVLight: a Multi-agent Reinforcement Learning Framework for an Emergency Vehicle Decentralized Routing and Traffic Signal Control System

Reinforcement Learning based Voice Interaction to Clear Path for Robots in Elevator Environment

Learning and Understanding a Disentangled Feature Representation for Hidden Parameters in Reinforcement Learning

Prototypical context-aware dynamics generalization for high-dimensional model-based reinforcement learning