机器人 / 具身智能 - arXivDaily 专题

2304.10704 2023-04-24 cs.LG cs.AI 62%

Interactive System-wise Anomaly Detection

Guanchu Wang, Ninghao Liu, Daochen Zha, Xia Hu

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

2304.09869 2023-04-21 cs.NE cs.AI cs.LG 62%

Evolving Constrained Reinforcement Learning Policy

Chengpeng Hu, Jiyuan Pei, Jialin Liu, Xin Yao

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

Comments accepted by the 2023 International Joint Conference on Neural Networks (IJCNN)

2211.04786 2023-04-18 cs.RO cs.AI 62%

Leveraging Sequentiality in Reinforcement Learning from a Single Demonstration

Alexandre Chenu, Olivier Serris, Olivier Sigaud, Nicolas Perrin-Gilbert

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

2304.07425 2023-04-18 cs.LG cs.AI cs.NE 62%

Efficient Quality-Diversity Optimization through Diverse Quality Species

Ryan Wickman, Bibek Poudel, Michael Villarreal, Xiaofei Zhang, Weizi Li

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

2304.05959 2023-04-13 cs.RO cs.AI 62%

UAV Obstacle Avoidance by Human-in-the-Loop Reinforcement in Arbitrary 3D Environment

Xuyang Li, Jianwu Fang, Kai Du, Kuizhi Mei, Jianru Xue

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

Comments accepted in CCC2023

2304.02801 2023-04-07 cs.RO cs.AI 62%

End-to-end Manipulator Calligraphy Planning via Variational Imitation Learning

Fangping Xie, Pierre Le Meur, Charith Fernando

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

Comments 5 pages, 4 figures

2304.00732 2023-04-04 cs.RO cs.LG 62%

Leveraging Predictive Models for Adaptive Sampling of Spatiotemporal Fluid Processes

Sandeep Manjanna, Tom Z. Jiahao, M. Ani Hsieh

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

2201.08355 2023-04-04 cs.RO cs.LG 62%

Sim-to-Lab-to-Real: Safe Reinforcement Learning with Shielding and Generalization Guarantees

Kai-Chieh Hsu, Allen Z. Ren, Duy Phuong Nguyen, Anirudha Majumdar, Jaime F. Fisac

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

Comments Accepted to Special Issue on Risk-aware Autonomous Systems: Theory and Practice, Artificial Intelligence

2007.00691 2023-03-21 cs.RO cs.FL cs.LG 62%

Falsification-Based Robust Adversarial Reinforcement Learning

Xiao Wang, Saasha Nair, Matthias Althoff

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

Comments 8 pages, 4 figures

Journal ref IEEE International Conference on Machine Learning and Applications (ICMLA), 2020, pp. 205-212

2210.07241 2023-03-16 cs.LG cs.RO 62%

Visual Reinforcement Learning with Self-Supervised 3D Representations

Yanjie Ze, Nicklas Hansen, Yinbo Chen, Mohit Jain, Xiaolong Wang

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

Comments Accepted in RA-L 2023 and IROS 2023. Project page: https://yanjieze.com/3d4rl/

2303.04592 2023-03-09 cs.LG cs.AI 62%

Controlled Diversity with Preference : Towards Learning a Diverse Set of Desired Skills

Maxence Hussonnois, Thommen George Karimpanal, Santu Rana

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

Comments Accepted to AAMAS 2023

Journal ref AAMAS 2023

2206.07376 2023-03-09 cs.LG cs.AI 62%

Mean-Semivariance Policy Optimization via Risk-Averse Reinforcement Learning

Xiaoteng Ma, Shuai Ma, Li Xia, Qianchuan Zhao

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

Comments Accecpted by Journal of Artificial Intelligence Research

Journal ref Journal of Artificial Intelligence Research 75 (2022) 569-595

2303.04129 2023-03-08 cs.AI cs.LG 62%

Foundation Models for Decision Making: Problems, Methods, and Opportunities

Sherry Yang, Ofir Nachum, Yilun Du, Jason Wei, Pieter Abbeel, Dale Schuurmans

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

2303.04118 2023-03-08 cs.RO cs.LG 62%

A Multiplicative Value Function for Safe and Efficient Reinforcement Learning

Nick Bührer, Zhejun Zhang, Alexander Liniger, Fisher Yu, Luc Van Gool

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

Comments Repository available at https://github.com/nikeke19/Safe-Mult-RL

2109.02823 2023-03-07 cs.RO cs.AI 62%

Learning Visual-Audio Representations for Voice-Controlled Robots

Peixin Chang, Shuijing Liu, D. Livingston McPherson, Katherine Driggs-Campbell

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

Comments Published in ICRA 2023

2210.01525 2023-03-06 cs.RO cs.LG 62%

Handling Sparse Rewards in Reinforcement Learning Using Model Predictive Control

Murad Dawood, Nils Dengler, Jorge de Heuvel, Maren Bennewitz

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

Comments Accepted for ICRA2023

2210.15206 2023-02-28 cs.RO cs.LG 62%

Learning on the Job: Self-Rewarding Offline-to-Online Finetuning for Industrial Insertion of Novel Connectors from Vision

Ashvin Nair, Brian Zhu, Gokul Narayanan, Eugen Solowjow, Sergey Levine

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

Comments 10 pages. To be presented at ICRA 2023

2009.02653 2023-02-28 cs.LG cs.CV stat.ML 62%

A Survey on Machine Learning from Few Samples

Jiang Lu, Pinghua Gong, Jieping Ye, Jianwei Zhang, Changshui Zhang

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

Comments 30 pages, Accepted by Pattern Recognition, 2023

Journal ref Pattern Recognition, 2023

2302.12349 2023-02-27 cs.LG cs.AI stat.ML 62%

Reward Learning as Doubly Nonparametric Bandits: Optimal Design and Scaling Laws

Kush Bhatia, Wenshuo Guo, Jacob Steinhardt

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

Comments Accepted to AISTATS 2023

2203.11197 2023-02-21 cs.LG cs.AI 62%

Teachable Reinforcement Learning via Advice Distillation

Olivia Watkins, Trevor Darrell, Pieter Abbeel, Jacob Andreas, Abhishek Gupta

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

Comments Published at NeurIPS 2021

2302.08865 2023-02-20 cs.LG cs.AI 62%

Swapped goal-conditioned offline reinforcement learning

Wenyan Yang, Huiling Wang, Dingding Cai, Joni Pajarinen, Joni-Kristen Kämäräinen

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

Comments arXiv admin note: text overlap with arXiv:2302.07741

2109.06668 2023-02-03 cs.AI cs.LG cs.MA 62%

Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain

Jianye Hao, Tianpei Yang, Hongyao Tang, Chenjia Bai, Jinyi Liu, Zhaopeng Meng, Peng Liu, Zhen Wang

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

Comments Accepted by IEEE Transactions on Neural Networks and Learning Systems (TNNLS)

2211.11096 2023-01-31 cs.LG cs.AI cs.NE 62%

Let Offline RL Flow: Training Conservative Agents in the Latent Space of Normalizing Flows

Dmitriy Akimov, Vladislav Kurenkov, Alexander Nikulin, Denis Tarasov, Sergey Kolesnikov

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

Comments Accepted at 3rd Offline Reinforcement Learning Workshop at Neural Information Processing Systems, 2022. Source code: https://github.com/tinkoff-ai/cnf

2301.10067 2023-01-25 cs.LG cs.AI 62%

Intrinsic Motivation in Model-based Reinforcement Learning: A Brief Review

Artem Latyshev, Aleksandr I. Panov

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

Comments 13 pages, 7 figures

2301.09544 2023-01-24 cs.RO cs.CV 62%

Learning to View: Decision Transformers for Active Object Detection

Wenhao Ding, Nathalie Majcherczyk, Mohit Deshpande, Xuewei Qi, Ding Zhao, Rajasimman Madhivanan, Arnie Sen

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

Comments Accepted to ICRA 2023

2301.05392 2023-01-16 cs.CV cs.LG 62%

Multi-Target Landmark Detection with Incomplete Images via Reinforcement Learning and Shape Prior

Kaiwen Wan, Lei Li, Dengqiang Jia, Shangqi Gao, Wei Qian, Yingzhi Wu, Huandong Lin, Xiongzheng Mu, Xin Gao, Sijia Wang, Fuping Wu, Xiahai Zhuang

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

Comments 29 pages, 13 figures

2301.00650 2023-01-03 cs.RO cs.AI 62%

Hybrid Deep Reinforcement Learning and Planning for Safe and Comfortable Automated Driving

Dikshant Gupta, Mathias Klusch

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

2301.00188 2023-01-03 cs.LG cs.AI cs.CR 62%

New Challenges in Reinforcement Learning: A Survey of Security and Privacy

Yunjiao Lei, Dayong Ye, Sheng Shen, Yulei Sui, Tianqing Zhu, Wanlei Zhou

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

2212.13936 2022-12-29 cs.LG cs.AI stat.ME stat.ML 62%

On Pathologies in KL-Regularized Reinforcement Learning from Expert Demonstrations

Tim G. J. Rudner, Cong Lu, Michael A. Osborne, Yarin Gal, Yee Whye Teh

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

Comments Published in Advances in Neural Information Processing Systems 34 (NeurIPS 2021)

2104.10190 2022-12-29 cs.LG cs.AI stat.ME stat.ML 62%

Outcome-Driven Reinforcement Learning via Variational Inference

Tim G. J. Rudner, Vitchyr H. Pong, Rowan McAllister, Yarin Gal, Sergey Levine

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

Comments Published in Advances in Neural Information Processing Systems 34 (NeurIPS 2021)

1. 模仿学习与强化学习 4115 篇

Interactive System-wise Anomaly Detection

Evolving Constrained Reinforcement Learning Policy

Leveraging Sequentiality in Reinforcement Learning from a Single Demonstration

Efficient Quality-Diversity Optimization through Diverse Quality Species

UAV Obstacle Avoidance by Human-in-the-Loop Reinforcement in Arbitrary 3D Environment

End-to-end Manipulator Calligraphy Planning via Variational Imitation Learning

Leveraging Predictive Models for Adaptive Sampling of Spatiotemporal Fluid Processes

Sim-to-Lab-to-Real: Safe Reinforcement Learning with Shielding and Generalization Guarantees

Falsification-Based Robust Adversarial Reinforcement Learning

Visual Reinforcement Learning with Self-Supervised 3D Representations

Controlled Diversity with Preference : Towards Learning a Diverse Set of Desired Skills

Mean-Semivariance Policy Optimization via Risk-Averse Reinforcement Learning

Foundation Models for Decision Making: Problems, Methods, and Opportunities

A Multiplicative Value Function for Safe and Efficient Reinforcement Learning

Learning Visual-Audio Representations for Voice-Controlled Robots

Handling Sparse Rewards in Reinforcement Learning Using Model Predictive Control

Learning on the Job: Self-Rewarding Offline-to-Online Finetuning for Industrial Insertion of Novel Connectors from Vision

A Survey on Machine Learning from Few Samples

Reward Learning as Doubly Nonparametric Bandits: Optimal Design and Scaling Laws

Teachable Reinforcement Learning via Advice Distillation

Swapped goal-conditioned offline reinforcement learning

Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain

Let Offline RL Flow: Training Conservative Agents in the Latent Space of Normalizing Flows

Intrinsic Motivation in Model-based Reinforcement Learning: A Brief Review

Learning to View: Decision Transformers for Active Object Detection

Multi-Target Landmark Detection with Incomplete Images via Reinforcement Learning and Shape Prior

Hybrid Deep Reinforcement Learning and Planning for Safe and Comfortable Automated Driving

New Challenges in Reinforcement Learning: A Survey of Security and Privacy

On Pathologies in KL-Regularized Reinforcement Learning from Expert Demonstrations

Outcome-Driven Reinforcement Learning via Variational Inference