A Framework for Optimal Sequential Planning in Multiagent Settings

February 1, 2023

Abstract:

In this thesis, we present a new framework called Interactive POMDPS (I-POMDPs) for optimal planning by an agent interacting with other autonomous agents in a sequential environment and maximizing its reward that depends on joint actions of all agents.

Authors

Prashant J. Doshi

DOI:

HOW TO CITE:

Prashant J. Doshi A Framework for Optimal Sequential Planning in Multiagent Settings Proceedings of the AAAI Conference on Artificial Intelligence, 19 (2004) 985.

Prashant J. Doshi A Framework for Optimal Sequential Planning in Multiagent Settings AAAI 2004, 985.

Prashant J. Doshi (2004). A Framework for Optimal Sequential Planning in Multiagent Settings. Proceedings of the AAAI Conference on Artificial Intelligence, 19, 985.

Prashant J. Doshi. A Framework for Optimal Sequential Planning in Multiagent Settings. Proceedings of the AAAI Conference on Artificial Intelligence, 19 2004 p.985.

Prashant J. Doshi. 2004. A Framework for Optimal Sequential Planning in Multiagent Settings. "Proceedings of the AAAI Conference on Artificial Intelligence, 19". 985.

Prashant J. Doshi. (2004) "A Framework for Optimal Sequential Planning in Multiagent Settings", Proceedings of the AAAI Conference on Artificial Intelligence, 19, p.985

Prashant J. Doshi, "A Framework for Optimal Sequential Planning in Multiagent Settings", AAAI, p.985, 2004.

Prashant J. Doshi. "A Framework for Optimal Sequential Planning in Multiagent Settings". Proceedings of the AAAI Conference on Artificial Intelligence, 19, 2004, p.985.

Prashant J. Doshi. "A Framework for Optimal Sequential Planning in Multiagent Settings". Proceedings of the AAAI Conference on Artificial Intelligence, 19, (2004): 985.

Prashant J. Doshi. A Framework for Optimal Sequential Planning in Multiagent Settings. AAAI[Internet]. 2004[cited 2023]; 985.

ISSN:

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