- We will send in 10–14 business days.
/images/books/13036901/9783319180687.jpg)
- Author: Samuel Barrett
- Publisher: Springer
- Year: 2015
- Pages: 144
- ISBN-10: 3319180681
- ISBN-13: 9783319180687
- Format: 15.6 x 23.4 x 1.1 cm, hardcover
- Language: English
- SAVE -10% with code: EXTRA
Making Friends on the Fly: Advances in Ad Hoc Teamwork (e-book) (used book) | bookbook.eu
Reviews
Description
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.
EXTRA 10 % discount with code: EXTRA
The promotion ends in 19d.20:21:47
The discount code is valid when purchasing from 10 €. Discounts do not stack.
- Author: Samuel Barrett
- Publisher: Springer
- Year: 2015
- Pages: 144
- ISBN-10: 3319180681
- ISBN-13: 9783319180687
- Format: 15.6 x 23.4 x 1.1 cm, hardcover
- Language: English 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.
Reviews