机器人 / 具身智能 - arXivDaily 专题

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

2211.11602 2022-11-22 cs.LG cs.HC cs.MA 57%

Improving Multimodal Interactive Agents with Reinforcement Learning from Human Feedback

Josh Abramson, Arun Ahuja, Federico Carnevale, Petko Georgiev, Alex Goldin, Alden Hung, Jessica Landon, Jirka Lhotka, Timothy Lillicrap, Alistair Muldal, George Powell, Adam Santoro, Guy Scully, Sanjana Srivastava, Tamara von Glehn, Greg Wayne, Nathaniel Wong, Chen Yan, Rui Zhu

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

2211.11391 2022-11-22 cs.RO cs.SY eess.SY 57%

Reinforcement Learning-Enhanced Control Barrier Functions for Robot Manipulators

Stephen McIlvanna, Nhat Nguyen Minh, Yuzhu Sun, Mien Van, Wasif Naeem

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

2206.07922 2022-11-09 cs.LG 57%

Challenges and Opportunities in Deep Reinforcement Learning with Graph Neural Networks: A Comprehensive review of Algorithms and Applications

Sai Munikoti, Deepesh Agarwal, Laya Das, Mahantesh Halappanavar, Balasubramaniam Natarajan

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

Comments 20 pages, 3 figures, 2 tables

2211.00942 2022-11-03 cs.LG 57%

Model-based Reinforcement Learning with a Hamiltonian Canonical ODE Network

Yao Feng, Yuhong Jiang, Hang Su, Dong Yan, Jun Zhu

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

2211.00688 2022-11-03 cs.AI cs.CL 57%

Learning to Solve Voxel Building Embodied Tasks from Pixels and Natural Language Instructions

Alexey Skrynnik, Zoya Volovikova, Marc-Alexandre Côté, Anton Voronov, Artem Zholus, Negar Arabzadeh, Shrestha Mohanty, Milagro Teruel, Ahmed Awadallah, Aleksandr Panov, Mikhail Burtsev, Julia Kiseleva

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

Comments 6 pages, 3 figures

2210.01808 2022-11-02 cs.LG stat.ML 57%

Maximum-Likelihood Inverse Reinforcement Learning with Finite-Time Guarantees

Siliang Zeng, Chenliang Li, Alfredo Garcia, Mingyi Hong

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

Comments Two different versions (arXiv:2210.01808 and arXiv:2210.01282) of the same paper have been submitted to arxiv. To avoid to the overlap between two versions, we withdraw this version. For this paper, readers could refer to arXiv:2210.01282

2205.14953 2022-10-31 cs.MA cs.LG 57%

Multi-Agent Reinforcement Learning is a Sequence Modeling Problem

Muning Wen, Jakub Grudzien Kuba, Runji Lin, Weinan Zhang, Ying Wen, Jun Wang, Yaodong Yang

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

2210.15199 2022-10-28 cs.RO 57%

Characterising the Robustness of Reinforcement Learning for Continuous Control using Disturbance Injection

Catherine R. Glossop, Jacopo Panerati, Amrit Krishnan, Zhaocong Yuan, Angela P. Schoellig

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

Comments 18 pages, 15 figures

2203.07709 2022-10-28 cs.RO 57%

Adaptive Environment Modeling Based Reinforcement Learning for Collision Avoidance in Complex Scenes

Shuaijun Wang, Rui Gao, Ruihua Han, Shengduo Chen, Chengyang Li, Qi Hao

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

Comments accepted by IROS2022

2210.12927 2022-10-25 cs.RO 57%

The Design and Realization of Multi-agent Obstacle Avoidance based on Reinforcement Learning

Enyu Zhao, Chanjuan Liu, Houfu Su, Yang Liu

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

2210.11126 2022-10-21 cs.RO 57%

Co-Training an Observer and an Evading Target

André Brandenburger, Folker Hoffmann, Alexander Charlish

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

Comments Accepted for IEEE 24th International Conference on Information Fusion (FUSION 2021)

2210.07636 2022-10-17 cs.LG cs.MA 57%

Distributional Reward Estimation for Effective Multi-Agent Deep Reinforcement Learning

Jifeng Hu, Yanchao Sun, Hechang Chen, Sili Huang, haiyin piao, Yi Chang, Lichao Sun

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

2210.06526 2022-10-14 cond-mat.dis-nn cs.LG 57%

Microscopy is All You Need

Sergei V. Kalinin, Rama Vasudevan, Yongtao Liu, Ayana Ghosh, Kevin Roccapriore, Maxim Ziatdinov

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

2205.05138 2022-10-13 cs.LG 57%

Efficient Risk-Averse Reinforcement Learning

Ido Greenberg, Yinlam Chow, Mohammad Ghavamzadeh, Shie Mannor

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

Comments Accepted to NeurIPS 2022

2210.05650 2022-10-12 cs.LG 57%

Regret Bounds for Risk-Sensitive Reinforcement Learning

O. Bastani, Y. J. Ma, E. Shen, W. Xu

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

2210.04209 2022-10-11 cs.LG 57%

Decomposed Mutual Information Optimization for Generalized Context in Meta-Reinforcement Learning

Yao Mu, Yuzheng Zhuang, Fei Ni, Bin Wang, Jianyu Chen, Jianye Hao, Ping Luo

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

Comments NeurIPS 2022

2209.12295 2022-09-27 cs.LG 57%

Gradient Optimization for Single-State RMDPs

Keith Badger

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

Comments 16 pages, 6 figures

1. 模仿学习与强化学习 4116 篇

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

Improving Multimodal Interactive Agents with Reinforcement Learning from Human Feedback

Reinforcement Learning-Enhanced Control Barrier Functions for Robot Manipulators

Challenges and Opportunities in Deep Reinforcement Learning with Graph Neural Networks: A Comprehensive review of Algorithms and Applications

Model-based Reinforcement Learning with a Hamiltonian Canonical ODE Network

Learning to Solve Voxel Building Embodied Tasks from Pixels and Natural Language Instructions

Maximum-Likelihood Inverse Reinforcement Learning with Finite-Time Guarantees

Multi-Agent Reinforcement Learning is a Sequence Modeling Problem

Characterising the Robustness of Reinforcement Learning for Continuous Control using Disturbance Injection

Adaptive Environment Modeling Based Reinforcement Learning for Collision Avoidance in Complex Scenes

The Design and Realization of Multi-agent Obstacle Avoidance based on Reinforcement Learning

Co-Training an Observer and an Evading Target

Distributional Reward Estimation for Effective Multi-Agent Deep Reinforcement Learning

Microscopy is All You Need

Efficient Risk-Averse Reinforcement Learning

Regret Bounds for Risk-Sensitive Reinforcement Learning

Decomposed Mutual Information Optimization for Generalized Context in Meta-Reinforcement Learning

Gradient Optimization for Single-State RMDPs