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» Building Relational World Models for Reinforcement Learning
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88
Voted
KDD
2010
ACM
282views Data Mining» more  KDD 2010»
15 years 4 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....
140
Voted
JAIR
2008
148views more  JAIR 2008»
15 years 13 days ago
Learning Partially Observable Deterministic Action Models
We present exact algorithms for identifying deterministic-actions' effects and preconditions in dynamic partially observable domains. They apply when one does not know the ac...
Eyal Amir, Allen Chang
83
Voted
ICASSP
2008
IEEE
15 years 7 months ago
On-demand new word learning using world wide web
Most of the Web-based methods for lexicon augmenting consist in capturing global semantic features of the targeted domain in order to collect relevant documents from the Web. We s...
Stanislas Oger, Georges Linares, Fréd&eacut...
88
Voted
COLING
1994
15 years 1 months ago
A Corpus-Based Learning Technique for Building A Self-Extensible Parser
IIuman intervention and/or training corpora tagged with various kinds of information were often assumed in many natural language acquisition models. This assumption is a major sou...
Rey-Long Liu, Von-Wun Soo
AI
2006
Springer
15 years 4 months ago
Partial Local FriendQ Multiagent Learning: Application to Team Automobile Coordination Problem
Real world multiagent coordination problems are important issues for reinforcement learning techniques. In general, these problems are partially observable and this characteristic ...
Julien Laumonier, Brahim Chaib-draa