机器人 / 具身智能 - arXivDaily 专题

2212.12786 2022-12-27 cs.RO cs.LG 62%

SHIRO: Soft Hierarchical Reinforcement Learning

Kandai Watanabe, Mathew Strong, Omer Eldar

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

2212.10064 2022-12-21 cs.RO cs.LG cs.MA cs.SY eess.SY math.OC 62%

AdverSAR: Adversarial Search and Rescue via Multi-Agent Reinforcement Learning

Aowabin Rahman, Arnab Bhattacharya, Thiagarajan Ramachandran, Sayak Mukherjee, Himanshu Sharma, Ted Fujimoto, Samrat Chatterjee

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

2212.08961 2022-12-20 cs.LG cs.RO 62%

Training Robots to Evaluate Robots: Example-Based Interactive Reward Functions for Policy Learning

Kun Huang, Edward S. Hu, Dinesh Jayaraman

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

Comments CoRL 2022

2212.08232 2022-12-19 cs.LG cs.RO 62%

Offline Robot Reinforcement Learning with Uncertainty-Guided Human Expert Sampling

Ashish Kumar, Ilya Kuzovkin

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

2212.06988 2022-12-15 cs.LG cs.AI 62%

Efficient Exploration in Resource-Restricted Reinforcement Learning

Zhihai Wang, Taoxing Pan, Qi Zhou, Jie Wang

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

Comments Accepted to AAAI 2023

2212.05727 2022-12-13 cs.LG cs.RO 62%

Evaluating Model-free Reinforcement Learning toward Safety-critical Tasks

Linrui Zhang, Qin Zhang, Li Shen, Bo Yuan, Xueqian Wang, Dacheng Tao

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

Comments 37th AAAI Conference on Artificial Intelligence (AAAI-23)

2212.04603 2022-12-12 cs.LG cs.AI 62%

System Design for an Integrated Lifelong Reinforcement Learning Agent for Real-Time Strategy Games

Indranil Sur, Zachary Daniels, Abrar Rahman, Kamil Faber, Gianmarco J. Gallardo, Tyler L. Hayes, Cameron E. Taylor, Mustafa Burak Gurbuz, James Smith, Sahana Joshi, Nathalie Japkowicz, Michael Baron, Zsolt Kira, Christopher Kanan, Roberto Corizzo, Ajay Divakaran, Michael Piacentino, Jesse Hostetler, Aswin Raghavan

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

Comments The Second International Conference on AIML Systems, October 12--15, 2022, Bangalore, India

2212.02909 2022-12-07 cs.AI cs.MA cs.RO 62%

Scalable Planning and Learning Framework Development for Swarm-to-Swarm Engagement Problems

Umut Demir, A. Sadik Satir, Gulay Goktas Sever, Cansu Yikilmaz, Nazim Kemal Ure

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

Comments Accepted to SciTech2023

2102.00824 2022-12-05 cs.MA cs.AI cs.LG 62%

HAMMER: Multi-Level Coordination of Reinforcement Learning Agents via Learned Messaging

Nikunj Gupta, G Srinivasaraghavan, Swarup Kumar Mohalik, Nishant Kumar, Matthew E. Taylor

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

2211.14663 2022-11-29 cs.AI cs.NE cs.RO 62%

Computational Co-Design for Variable Geometry Truss

Jianzhe Gu, Lining Yao

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

2210.05150 2022-11-22 cs.LG cs.AI 62%

DHRL: A Graph-Based Approach for Long-Horizon and Sparse Hierarchical Reinforcement Learning

Seungjae Lee, Jigang Kim, Inkyu Jang, H. Jin Kim

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

Comments Accepted to NeurIPS 2022 (Selected as Oral)

2211.10168 2022-11-21 cs.LG cs.RO 62%

Language-Conditioned Reinforcement Learning to Solve Misunderstandings with Action Corrections

Frank Röder, Manfred Eppe

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 2nd Workshop on Language in Reinforcement Learning, (NeurIPS 2022)

2211.09382 2022-11-18 cs.RO cs.CV 62%

Planning Irregular Object Packing via Hierarchical Reinforcement Learning

Sichao Huang, Ziwei Wang, Jie Zhou, Jiwen Lu

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

Comments This work is accepted by IEEE RAL. 8 pages, 6 figures

2211.06929 2022-11-15 cs.LG cs.AI 62%

Goal-Conditioned Reinforcement Learning in the Presence of an Adversary

Carlos Purves, Pietro Liò, Cătălina Cangea

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

2012.13490 2022-11-15 cs.LG cs.AI 62%

Towards Continual Reinforcement Learning: A Review and Perspectives

Khimya Khetarpal, Matthew Riemer, Irina Rish, Doina Precup

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

Comments Journal of Artificial Intelligence Research (JAIR)

2209.08842 2022-11-11 cs.LG cs.AI 62%

Rewarding Episodic Visitation Discrepancy for Exploration in Reinforcement Learning

Mingqi Yuan, Bo Li, Xin Jin, Wenjun Zeng

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

Comments 16 pages, 9 figures; Deep RL Workshop NeurIPS 2022

2211.03959 2022-11-09 cs.LG cs.AI 62%

Pretraining in Deep Reinforcement Learning: A Survey

Zhihui Xie, Zichuan Lin, Junyou Li, Shuai Li, Deheng Ye

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

2106.12142 2022-11-04 cs.LG cs.AI 62%

IQ-Learn: Inverse soft-Q Learning for Imitation

Divyansh Garg, Shuvam Chakraborty, Chris Cundy, Jiaming Song, Matthieu Geist, Stefano Ermon

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

Comments Spotlight in NeurIPS 2021. Winner of '21 MineRL BASALT Challenge. Website: https://div99.github.io/IQ-Learn

2210.17368 2022-11-01 cs.LG cs.AI 62%

Teacher-student curriculum learning for reinforcement learning

Yanick Schraner

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

2210.17296 2022-11-01 cs.LG cs.AI 62%

Using Contrastive Samples for Identifying and Leveraging Possible Causal Relationships in Reinforcement Learning

Harshad Khadilkar, Hardik Meisheri

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

2210.14492 2022-10-27 cs.LG cs.AI stat.ML 62%

Provable Safe Reinforcement Learning with Binary Feedback

Andrew Bennett, Dipendra Misra, Nathan Kallus

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

2210.10195 2022-10-20 cs.LG cs.AI 62%

Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation

Peide Huang, Mengdi Xu, Jiacheng Zhu, Laixi Shi, Fei Fang, Ding Zhao

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

Journal ref 36th Conference on Neural Information Processing Systems (NeurIPS 2022)

1907.05707 2022-10-14 cs.LG cs.AI cs.MA 62%

Shapley Q-value: A Local Reward Approach to Solve Global Reward Games

Jianhong Wang, Yuan Zhang, Tae-Kyun Kim, Yunjie Gu

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

Journal ref AAAI 2020

2210.06377 2022-10-13 cs.RO cs.LG 62%

Smooth Trajectory Collision Avoidance through Deep Reinforcement Learning

Sirui Song, Kirk Saunders, Ye Yue, Jundong Liu

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

Comments Accepted to ICMLA 2022

2202.02363 2022-10-13 cs.LG cs.AI cs.NE math.OC 62%

Meta-Reinforcement Learning with Self-Modifying Networks

Mathieu Chalvidal, Thomas Serre, Rufin VanRullen

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 2022

2210.00350 2022-10-04 cs.RO cs.LG 62%

Zero-Shot Policy Transfer with Disentangled Task Representation of Meta-Reinforcement Learning

Zheng Wu, Yichen Xie, Wenzhao Lian, Changhao Wang, Yanjiang Guo, Jianyu Chen, Stefan Schaal, Masayoshi Tomizuka

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

Comments 7 pages, 9 figures

2209.15078 2022-10-03 cs.LG cs.RO 62%

Online Weighted Q-Ensembles for Reduced Hyperparameter Tuning in Reinforcement Learning

Renata Garcia, Wouter Caarls

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

2209.14940 2022-09-30 cs.LG cs.AI 62%

Reinforcement Learning Algorithms: An Overview and Classification

Fadi AlMahamid, Katarina Grolinger

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

Journal ref 2021 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE), 2021, pp. 1-7

2209.13489 2022-09-28 cs.LG cs.AI 62%

Reward Learning using Structural Motifs in Inverse Reinforcement Learning

Raeid Saqur

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

2209.12483 2022-09-27 cs.LG cs.AI 62%

Delayed Geometric Discounts: An Alternative Criterion for Reinforcement Learning

Firas Jarboui, Ahmed Akakzia

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

Comments 10 Pages, 9 Figures

1. 模仿学习与强化学习 4115 篇

SHIRO: Soft Hierarchical Reinforcement Learning

AdverSAR: Adversarial Search and Rescue via Multi-Agent Reinforcement Learning

Training Robots to Evaluate Robots: Example-Based Interactive Reward Functions for Policy Learning

Offline Robot Reinforcement Learning with Uncertainty-Guided Human Expert Sampling

Efficient Exploration in Resource-Restricted Reinforcement Learning

Evaluating Model-free Reinforcement Learning toward Safety-critical Tasks

System Design for an Integrated Lifelong Reinforcement Learning Agent for Real-Time Strategy Games

Scalable Planning and Learning Framework Development for Swarm-to-Swarm Engagement Problems

HAMMER: Multi-Level Coordination of Reinforcement Learning Agents via Learned Messaging

Computational Co-Design for Variable Geometry Truss

DHRL: A Graph-Based Approach for Long-Horizon and Sparse Hierarchical Reinforcement Learning

Language-Conditioned Reinforcement Learning to Solve Misunderstandings with Action Corrections

Planning Irregular Object Packing via Hierarchical Reinforcement Learning

Goal-Conditioned Reinforcement Learning in the Presence of an Adversary

Towards Continual Reinforcement Learning: A Review and Perspectives

Rewarding Episodic Visitation Discrepancy for Exploration in Reinforcement Learning

Pretraining in Deep Reinforcement Learning: A Survey

IQ-Learn: Inverse soft-Q Learning for Imitation

Teacher-student curriculum learning for reinforcement learning

Using Contrastive Samples for Identifying and Leveraging Possible Causal Relationships in Reinforcement Learning

Provable Safe Reinforcement Learning with Binary Feedback

Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation

Shapley Q-value: A Local Reward Approach to Solve Global Reward Games

Smooth Trajectory Collision Avoidance through Deep Reinforcement Learning

Meta-Reinforcement Learning with Self-Modifying Networks

Zero-Shot Policy Transfer with Disentangled Task Representation of Meta-Reinforcement Learning

Online Weighted Q-Ensembles for Reduced Hyperparameter Tuning in Reinforcement Learning

Reinforcement Learning Algorithms: An Overview and Classification

Reward Learning using Structural Motifs in Inverse Reinforcement Learning

Delayed Geometric Discounts: An Alternative Criterion for Reinforcement Learning