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AIPS
2006
15 years 8 months ago
Combining Stochastic Task Models with Reinforcement Learning for Dynamic Scheduling
We view dynamic scheduling as a sequential decision problem. Firstly, we introduce a generalized planning operator, the stochastic task model (STM), which predicts the effects of ...
Malcolm J. A. Strens
AIPS
2006
15 years 8 months ago
Incremental Maintenance of Double Precedence Graphs: A Constraint-Based Approach
Reasoning on precedence relations is crucial for many planning and scheduling systems. In this paper we propose a double precedence graph where direct precedence relations are kep...
Roman Barták, Ondrej Cepek
FLAIRS
2006
15 years 8 months ago
Using Active Relocation to Aid Reinforcement Learning
We propose a new framework for aiding a reinforcement learner by allowing it to relocate, or move, to a state it selects so as to decrease the number of steps it needs to take in ...
Lilyana Mihalkova, Raymond J. Mooney
AIPS
2000
15 years 8 months ago
A New Perspective on Algorithms for Optimizing Policies under Uncertainty
The paper takes a fresh look at algorithms for maximizing expected utility over a set of policies, that is, a set of possible ways of reacting to observations about an uncertain s...
Rina Dechter
AIIDE
2009
15 years 7 months ago
Case-Based Reasoning for Build Order in Real-Time Strategy Games
We present a case-based reasoning technique for selecting build orders in a real-time strategy game. The case retrieval process generalizes features of the game state and selects ...
Ben George Weber, Michael Mateas