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AIPS
2004
13 years 10 months ago
Heuristic Refinements of Approximate Linear Programming for Factored Continuous-State Markov Decision Processes
Approximate linear programming (ALP) offers a promising framework for solving large factored Markov decision processes (MDPs) with both discrete and continuous states. Successful ...
Branislav Kveton, Milos Hauskrecht
ECAL
2007
Springer
14 years 16 days ago
Constructing the Basic Umwelt of Artificial Agents: An Information-Theoretic Approach
Abstract. In the context of situated and embodied cognition, we evaluate an information-theoretic approach to the construction of the Umwelt of an artificial agent. We make the ass...
Philippe Capdepuy, Daniel Polani, Chrystopher L. N...
AIPS
2009
13 years 9 months ago
A Conformant Planner with Explicit Disjunctive Representation of Belief States
This paper describes a novel and competitive complete conformant planner. Key to the enhanced performance is an efficient encoding of belief states as disjunctive normal form form...
Son Thanh To, Enrico Pontelli, Tran Cao Son
WIA
2004
Springer
14 years 1 months ago
On the Complexity of Hopcroft's State Minimization Algorithm
Abstract. Hopcroft’s algorithm for minimizing a deterministic automaton has complexity O(n log n). We show that this complexity bound is tight. More precisely, we provide a famil...
Jean Berstel, Olivier Carton
AIED
2007
Springer
14 years 2 months ago
The Effect of Problem Templates on Learning in Intelligent Tutoring Systems
: This paper proposes the notion of problem templates (PTs), a concept based on theories of memory and expertise. These mental constructs allow experts to quickly recognise problem...
Moffat Mathews, Antonija Mitrovic