DCOPs Meet the Real World: Exploring Unknown Reward Matrices with Applications to Mobile Sensor Networks
Proceedings of the Twenty-First International Joint Conference on Artificial Intelligence. Pages 181-185.
Abstract
Buoyed by recent successes in the area of distributed constraint optimization problems (DCOPs), this paper addresses challenges faced when applying DCOPs to real-world domains. Three fundamental challenges must be addressed for a class of real-world domains, requiring novel DCOP algorithms. First, agents may not know the payoff matrix and must explore the environment to determine rewards associated with variable settings. Second, agents may need to maximize total accumulated reward rather than instantaneous final reward. Third, limited time horizons disallow exhaustive exploration of the environment. We propose and implement a set of novel algorithms that combine decision-theoretic exploration approaches with DCOP-mandated coordination. In addition to simulation results, we implement these algorithms on robots, deploying DCOPs on a distributed mobile sensor network.Manish Jain, Matthew Taylor, Milind Tambe, Makoto Yokoo
@inproceedings{ijcai2009p40,
title = {DCOPs Meet the Real World: Exploring Unknown Reward Matrices with Applications to Mobile Sensor Networks},
author = {Jain, Manish and Taylor, Matthew E. and Tambe, Milind and Yokoo, Makoto},
booktitle = {Proceedings of the Twenty-First International Joint Conference on
Artificial Intelligence, {IJCAI-09}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Hiroaki Kitano},
pages = {181--185},
year = {2009},
url = {https://ijcai.org/proceedings/2009/40},
}
TY - CPAPER TI - DCOPs Meet the Real World: Exploring Unknown Reward Matrices with Applications to Mobile Sensor Networks AU - Jain, Manish AU - Taylor, Matthew E. AU - Tambe, Milind AU - Yokoo, Makoto T2 - Proceedings of the Twenty-First International Joint Conference on Artificial Intelligence, IJCAI-09 PB - International Joint Conferences on Artificial Intelligence PY - 2009 SP - 181 EP - 185 UR - https://ijcai.org/proceedings/2009/40 ER -Copied
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