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FLAIRS
2008
14 years 11 days 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
AUTOMATICA
2010
96views more  AUTOMATICA 2010»
13 years 10 months ago
Issues in sampling and estimating continuous-time models with stochastic disturbances
: The standard continuous time state space model with stochastic disturbances the mathematical abstraction of continuous time white noise. To work with well defined, discrete time ...
Lennart Ljung, Adrian Wills
IJRR
2008
67views more  IJRR 2008»
13 years 10 months ago
Sampling-based Falsification and Verification of Controllers for Continuous Dynamic Systems
: In this paper, we present a sampling-based verification algorithm for continuous dynamic systems with uncertainty due to adversaries, unmodeled disturbance inputs, unknown parame...
Peng Cheng, Vijay Kumar
CDC
2010
IEEE
160views Control Systems» more  CDC 2010»
13 years 5 months ago
Aggregation-based model reduction of a Hidden Markov Model
This paper is concerned with developing an information-theoretic framework to aggregate the state space of a Hidden Markov Model (HMM) on discrete state and observation spaces. The...
Kun Deng, Prashant G. Mehta, Sean P. Meyn
CDC
2010
IEEE
147views Control Systems» more  CDC 2010»
13 years 5 months ago
Generalized multicircumcenter trajectories for optimal design under near-independence
This work deals with trajectory optimization for a network of robotic sensors sampling a spatio-temporal random field. We examine the problem of minimizing over the space of networ...
Rishi Graham, Jorge Cortés