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» A Finite State Mobile Agent Computation Model
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87
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AAAI
1997
14 years 11 months ago
Model Minimization in Markov Decision Processes
Many stochastic planning problems can be represented using Markov Decision Processes (MDPs). A difficulty with using these MDP representations is that the common algorithms for so...
Thomas Dean, Robert Givan
CAV
2006
Springer
133views Hardware» more  CAV 2006»
15 years 1 months ago
Antichains: A New Algorithm for Checking Universality of Finite Automata
We propose and evaluate a new algorithm for checking the universality of nondeterministic finite automata. In contrast to the standard algorithm, which uses the subset construction...
Martin De Wulf, Laurent Doyen, Thomas A. Henzinger...
ECAI
2010
Springer
14 years 10 months ago
The Dynamics of Multi-Agent Reinforcement Learning
Abstract. Infinite-horizon multi-agent control processes with nondeterminism and partial state knowledge have particularly interesting properties with respect to adaptive control, ...
Luke Dickens, Krysia Broda, Alessandra Russo
AAAI
2000
14 years 11 months ago
A Method for Clustering the Experiences of a Mobile Robot that Accords with Human Judgments
If robotic agents are to act autonomously they must have the ability to construct and reason about models of their physical environment. For example, planning to achieve goals req...
Tim Oates, Matthew D. Schmill, Paul R. Cohen
77
Voted
ICCS
2007
Springer
15 years 3 months ago
Composing Different Models of Computation in Kepler and Ptolemy II
A model of computation (MoC) is a formal abstraction of execution in a computer. There is a need for composing MoCs in e-science. Kepler, which is based on Ptolemy II, is a scienti...
Antoon Goderis, Christopher Brooks, Ilkay Altintas...