By the same authors

Resource Abstraction for Reinforcement Learning in Multiagent Congestion Problems

Research output: Contribution to conferencePaper

Standard

Resource Abstraction for Reinforcement Learning in Multiagent Congestion Problems. / Malialis, Kleanthis ; Devlin, Sam; Kudenko, Daniel.

2016. 512-520 Paper presented at International Conference on Autonomous Agents and Multi-Agent Systems, Singapore, Singapore.

Research output: Contribution to conferencePaper

Harvard

Malialis, K, Devlin, S & Kudenko, D 2016, 'Resource Abstraction for Reinforcement Learning in Multiagent Congestion Problems' Paper presented at International Conference on Autonomous Agents and Multi-Agent Systems, Singapore, Singapore, 9/05/16 - 13/05/16, pp. 512-520.

APA

Malialis, K., Devlin, S., & Kudenko, D. (2016). Resource Abstraction for Reinforcement Learning in Multiagent Congestion Problems. 512-520. Paper presented at International Conference on Autonomous Agents and Multi-Agent Systems, Singapore, Singapore.

Vancouver

Malialis K, Devlin S, Kudenko D. Resource Abstraction for Reinforcement Learning in Multiagent Congestion Problems. 2016. Paper presented at International Conference on Autonomous Agents and Multi-Agent Systems, Singapore, Singapore.

Author

Malialis, Kleanthis ; Devlin, Sam ; Kudenko, Daniel. / Resource Abstraction for Reinforcement Learning in Multiagent Congestion Problems. Paper presented at International Conference on Autonomous Agents and Multi-Agent Systems, Singapore, Singapore.9 p.

Bibtex - Download

@conference{2a0b01139ae147d7ae928a408e1cbe3d,
title = "Resource Abstraction for Reinforcement Learning in Multiagent Congestion Problems",
author = "Kleanthis Malialis and Sam Devlin and Daniel Kudenko",
year = "2016",
month = "5",
day = "9",
language = "English",
pages = "512--520",
note = "International Conference on Autonomous Agents and Multi-Agent Systems ; Conference date: 09-05-2016 Through 13-05-2016",

}

RIS (suitable for import to EndNote) - Download

TY - CONF

T1 - Resource Abstraction for Reinforcement Learning in Multiagent Congestion Problems

AU - Malialis, Kleanthis

AU - Devlin, Sam

AU - Kudenko, Daniel

PY - 2016/5/9

Y1 - 2016/5/9

M3 - Paper

SP - 512

EP - 520

ER -