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» Using Learning in a Control Agent
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AAAI
2008
15 years 4 months ago
Online Learning with Expert Advice and Finite-Horizon Constraints
In this paper, we study a sequential decision making problem. The objective is to maximize the average reward accumulated over time subject to temporal cost constraints. The novel...
Branislav Kveton, Jia Yuan Yu, Georgios Theocharou...
KBSE
2002
IEEE
15 years 7 months ago
An Approach to Rapid Prototyping of Large Multi-Agent Systems
Engineering individual components of a multi-agent system and their interactions is a complex and error-prone task in urgent need of methods and tools. Prototyping is a valuable t...
Wamberto Weber Vasconcelos, Carles Sierra, Marc Es...
103
Voted
ATAL
2004
Springer
15 years 7 months ago
An Empirical Study of the Effect of Agent Competence on User Performance and Perception
We studied the role of the competence of an interface agent that helped users to learn and use a text editor. Participants in the study made a set of changes to a document with th...
Jun Xiao, John T. Stasko, Richard Catrambone
112
Voted
FQAS
2009
Springer
113views Database» more  FQAS 2009»
14 years 12 months ago
On Reaching Consensus by a Group of Collaborating Agents
In this paper, an agent is defined as a triple (S, RS, LS), where S is a multi-hierarchical decision system, RS is a set of rules extracted from S defining values of its decision a...
Zbigniew W. Ras, Agnieszka Dardzinska
CORR
2007
Springer
73views Education» more  CORR 2007»
15 years 2 months ago
Universal Reinforcement Learning
—We consider an agent interacting with an unmodeled environment. At each time, the agent makes an observation, takes an action, and incurs a cost. Its actions can influence futu...
Vivek F. Farias, Ciamac Cyrus Moallemi, Tsachy Wei...