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» Self-evaluated Learning Agent in Multiple State Games
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AAAI
2004
13 years 8 months ago
Learning and Applying Competitive Strategies
Learning reusable sequences can support the development of expertise in many domains, either by improving decisionmaking quality or decreasing execution speed. This paper introduc...
Esther Lock, Susan L. Epstein
AGENTS
1998
Springer
13 years 11 months ago
WebMate: A Personal Agent for Browsing and Searching
The World-Wide Web is developing very fast. Currently, nding useful information on the Web is a time consuming process. In this paper, we present WebMate, an agent that helps user...
Liren Chen, Katia P. Sycara
AIMSA
2008
Springer
14 years 1 months ago
A Social and Emotional Model for Obtaining Believable Emergent Behaviors
Abstract This paper attempts to define an emotional model for virtual agents that behave autonomously in social worlds. We adopt shallow modeling based on the decomposition of the...
Javier Asensio, Marta Jiménez, Susana Fern&...
ATAL
2005
Springer
14 years 28 days ago
Improving reinforcement learning function approximators via neuroevolution
Reinforcement learning problems are commonly tackled with temporal difference methods, which use dynamic programming and statistical sampling to estimate the long-term value of ta...
Shimon Whiteson
ATAL
2009
Springer
14 years 1 months ago
Transfer via soft homomorphisms
The field of transfer learning aims to speed up learning across multiple related tasks by transferring knowledge between source and target tasks. Past work has shown that when th...
Jonathan Sorg, Satinder Singh