Off-Policy Evaluation With Online Adaptation for Robot Exploration in Challenging Environments-Reference-Cited by-同舟云学术

Off-Policy Evaluation With Online Adaptation for Robot Exploration in Challenging Environments

Published:2023-06 Issue:6 Volume:8 Page:3780-3787
ISSN:2377-3766
Container-title:IEEE Robotics and Automation Letters
language:
Short-container-title:IEEE Robot. Autom. Lett.

Author:

Hu Yafei¹^ORCID,Geng Junyi¹^ORCID,Wang Chen¹^ORCID,Keller John¹,Scherer Sebastian¹^ORCID

Affiliation:

1. Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, USA

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Computer Science Applications,Computer Vision and Pattern Recognition,Mechanical Engineering,Human-Computer Interaction,Biomedical Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/7083369/10102643/10111084.pdf?arnumber=10111084

Reference33 articles.

1. Offline reinforcement learning: Tutorial, review, and perspectives on open problems;levine;Proc Neural Inf Process Syst,0

2. Benchmarks for deep off-policy evaluation;fu;Proc Int Conf Learn Representations,0

3. Incentivizing exploration in reinforcement learning with deep predictive models;stadie,2015

4. Conservative Q-learning for offline reinforcement learning;kumar;Proc 34th Int Conf Neural Inf Process Syst,0

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Goal Decision-making in Active SLAM Using 2D Lidar Based on DRL Driven by Intrinsic Rewards;2024 Photonics & Electromagnetics Research Symposium (PIERS);2024-04-21

2. Decentralized Multi-Agent Coverage Path Planning with Greedy Entropy Maximization;2024 IEEE International Conference on Industrial Technology (ICIT);2024-03-25

3. Efficient Reinforcement Learning via Decoupling Exploration and Utilization;Lecture Notes in Computer Science;2024

4. Learning Koopman Operators with Control Using Bi-Level Optimization;2023 62nd IEEE Conference on Decision and Control (CDC);2023-12-13

5. Multi-robot, multi-sensor exploration of multifarious environments with full mission aerial autonomy;The International Journal of Robotics Research;2023-10-31