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COLT
2008
Springer
13 years 8 months ago
Adaptive Aggregation for Reinforcement Learning with Efficient Exploration: Deterministic Domains
We propose a model-based learning algorithm, the Adaptive Aggregation Algorithm (AAA), that aims to solve the online, continuous state space reinforcement learning problem in a de...
Andrey Bernstein, Nahum Shimkin
RC
2000
99views more  RC 2000»
13 years 6 months ago
Interval Constraint Plotting for Interactive Visual Exploration of Implicitly Defined Relations
Conventional plotting programs adopt techniques such as adaptive sampling to approximate, but not to guarantee, correctness and completeness in graphing functions. Moreover, implic...
Timothy J. Hickey, Zhe Qju, Maarten H. van Emden
FLAIRS
2008
13 years 8 months ago
Reasoning with Conditional Time-Intervals
Reasoning with conditional time-intervals representing activities or tasks that may or may not be executed in the final schedule is crucial in many scheduling applications. In Con...
Philippe Laborie, Jerome Rogerie
16
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CIKM
2010
Springer
13 years 4 months ago
Multi-view clustering with constraint propagation for learning with an incomplete mapping between views
Multi-view learning algorithms typically assume a complete bipartite mapping between the different views in order to exchange information during the learning process. However, ma...
Eric Eaton, Marie desJardins, Sara Jacob
EPIA
2001
Springer
13 years 10 months ago
Global Hull Consistency with Local Search for Continuous Constraint Solving
This paper addresses constraint solving over continuous domains in the context of decision making, and discusses the trade-off between precision in the definition of the solution s...
Jorge Cruz, Pedro Barahona