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» Coordinated Reinforcement Learning
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130
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ACMACE
2007
ACM
15 years 7 months ago
Motivated reinforcement learning for adaptive characters in open-ended simulation games
Recently a new generation of virtual worlds has emerged in which users are provided with open-ended modelling tools with which they can create and modify world content. The result...
Kathryn Elizabeth Merrick, Mary Lou Maher
117
Voted
KDD
2010
ACM
282views Data Mining» more  KDD 2010»
15 years 7 months ago
Optimizing debt collections using constrained reinforcement learning
In this paper, we propose and develop a novel approach to the problem of optimally managing the tax, and more generally debt, collections processes at financial institutions. Our...
Naoki Abe, Prem Melville, Cezar Pendus, Chandan K....
ATAL
2008
Springer
15 years 5 months ago
Reinforcement learning for DEC-MDPs with changing action sets and partially ordered dependencies
Decentralized Markov decision processes are frequently used to model cooperative multi-agent systems. In this paper, we identify a subclass of general DEC-MDPs that features regul...
Thomas Gabel, Martin A. Riedmiller
111
Voted
AAAI
2010
15 years 5 months ago
Reinforcement Learning Via Practice and Critique Advice
We consider the problem of incorporating end-user advice into reinforcement learning (RL). In our setting, the learner alternates between practicing, where learning is based on ac...
Kshitij Judah, Saikat Roy, Alan Fern, Thomas G. Di...
IAT
2010
IEEE
15 years 1 months ago
A Biologically-Inspired Cognitive Agent Model Integrating Declarative Knowledge and Reinforcement Learning
Abstract--The paper proposes a biologically-inspired cognitive agent model, known as FALCON-X, based on an integration of the Adaptive Control of Thought (ACT-R) architecture and a...
Ah-Hwee Tan, Gee Wah Ng