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CDC
2009
IEEE
156views Control Systems» more  CDC 2009»
15 years 10 months ago
Input design using Markov chains for system identification
This paper studies the input design problem for system identification where time domain constraints have to be considered. A finite Markov chain is used to model the input of the s...
Chiara Brighenti, Bo Wahlberg, Cristian R. Rojas
ECML
2007
Springer
15 years 10 months ago
Efficient Continuous-Time Reinforcement Learning with Adaptive State Graphs
Abstract. We present a new reinforcement learning approach for deterministic continuous control problems in environments with unknown, arbitrary reward functions. The difficulty of...
Gerhard Neumann, Michael Pfeiffer, Wolfgang Maass
ATAL
2006
Springer
15 years 10 months ago
Multiagent simulation meets the real world
To realize large scale socially embedded systems, this paper proposes a multiagent-based participatory design that consists of steps called 1) participatory simulation, where scen...
Toru Ishida
GECCO
2006
Springer
191views Optimization» more  GECCO 2006»
15 years 10 months ago
Using convex hulls to represent classifier conditions
This papers presents a novel representation of classifier conditions based on convex hulls. A classifier condition is represented by a sets of points in the problem space. These p...
Pier Luca Lanzi, Stewart W. Wilson
FLAIRS
2008
15 years 8 months ago
Learning Continuous Action Models in a Real-Time Strategy Environment
Although several researchers have integrated methods for reinforcement learning (RL) with case-based reasoning (CBR) to model continuous action spaces, existing integrations typic...
Matthew Molineaux, David W. Aha, Philip Moore