Agents teaching agents: a survey on inter-agent transfer learning-Reference-Cited by-同舟云学术

Agents teaching agents: a survey on inter-agent transfer learning

Published:2019-12-09 Issue:1 Volume:34 Page:
ISSN:1387-2532
Container-title:Autonomous Agents and Multi-Agent Systems
language:en
Short-container-title:Auton Agent Multi-Agent Syst

Author:

Da Silva Felipe Leno^ORCID,Warnell Garrett,Costa Anna Helena Reali,Stone Peter

Funder

National Science Foundation

Office of Naval Research

FLI

Association of Research Libraries

Defense Advanced Research Projects Agency

Intel Corporation

Raytheon Company

Lockheed Martin

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Fundação de Amparo à Pesquisa do Estado de São Paulo

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Link

http://link.springer.com/content/pdf/10.1007/s10458-019-09430-0.pdf

Reference70 articles.

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2. Arakawa, R., Kobayashi, S., Unno, Y., Tsuboi, Y., & Maeda, S.I. (2018). DQN-TAMER: Human-in-the-loop reinforcement learning with intractable feedback. arXiv preprint arXiv:1810.11748.

3. Argall, B. D., Chernova, S., Veloso, M., & Browning, B. (2009). A survey of robot learning from demonstration. Robotics and Autonomous Systems, 57(5), 469–483. https://doi.org/10.1016/j.robot.2008.10.024.

4. Barrett, S., & Stone, P. (2015). Cooperating with unknown teammates in complex domains: A robot soccer case study of ad hoc teamwork. In Proceedings of the 29th AAAI conference on artificial intelligence (AAAI) (pp. 2010–2016).

5. Bazzan, A. L. C. (2014). Beyond reinforcement learning and local view in multiagent systems. Künstliche Intelligenz, 28(3), 179–189. https://doi.org/10.1007/s13218-014-0312-5.

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