Making Friends on the Fly: Advances in Ad Hoc Teamwork

Nonfiction, Science & Nature, Mathematics, Game Theory, Computers, Advanced Computing, Artificial Intelligence, General Computing
Cover of the book Making Friends on the Fly: Advances in Ad Hoc Teamwork by Samuel Barrett, Springer International Publishing
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Author: Samuel Barrett ISBN: 9783319180694
Publisher: Springer International Publishing Publication: May 25, 2015
Imprint: Springer Language: English
Author: Samuel Barrett
ISBN: 9783319180694
Publisher: Springer International Publishing
Publication: May 25, 2015
Imprint: Springer
Language: English

This book is devoted to the encounter and interaction of agents such as robots with other agents and describes how they cooperate with their previously unknown teammates, forming an Ad Hoc team. It presents a new algorithm, PLASTIC, that allows agents to quickly adapt to new teammates by reusing knowledge learned from previous teammates. PLASTIC is instantiated in both a model-based approach, PLASTIC-Model and a policy-based approach, PLASTIC-Policy. In addition to reusing knowledge learned from previous teammates, PLASTIC also allows users to provide expert-knowledge and can use transfer learning (such as the new Two Stage Transfer algorithm) to quickly create models of new teammates when it has some information about its new teammates. The effectiveness of the algorithm is demonstrated on three domains, ranging from multi-armed bandits to simulated robot soccer games.

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This book is devoted to the encounter and interaction of agents such as robots with other agents and describes how they cooperate with their previously unknown teammates, forming an Ad Hoc team. It presents a new algorithm, PLASTIC, that allows agents to quickly adapt to new teammates by reusing knowledge learned from previous teammates. PLASTIC is instantiated in both a model-based approach, PLASTIC-Model and a policy-based approach, PLASTIC-Policy. In addition to reusing knowledge learned from previous teammates, PLASTIC also allows users to provide expert-knowledge and can use transfer learning (such as the new Two Stage Transfer algorithm) to quickly create models of new teammates when it has some information about its new teammates. The effectiveness of the algorithm is demonstrated on three domains, ranging from multi-armed bandits to simulated robot soccer games.

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