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» Continuous Capacities on Continuous State Spaces
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ICML
2007
IEEE
16 years 2 months ago
Constructing basis functions from directed graphs for value function approximation
Basis functions derived from an undirected graph connecting nearby samples from a Markov decision process (MDP) have proven useful for approximating value functions. The success o...
Jeffrey Johns, Sridhar Mahadevan
IROS
2006
IEEE
119views Robotics» more  IROS 2006»
15 years 8 months ago
Design of a Social Mobile Robot Using Emotion-Based Decision Mechanisms
– In this paper, we describe a robot that interacts with humans in a crowded conference environment. The robot detects faces, determines the shirt color of onlooking conference a...
Geoffrey A. Hollinger, Yavor Georgiev, Anthony Man...
ICASSP
2010
IEEE
15 years 2 months ago
Variational nonparametric Bayesian Hidden Markov Model
The Hidden Markov Model (HMM) has been widely used in many applications such as speech recognition. A common challenge for applying the classical HMM is to determine the structure...
Nan Ding, Zhijian Ou
ASMTA
2008
Springer
167views Mathematics» more  ASMTA 2008»
15 years 3 months ago
Perfect Simulation of Stochastic Automata Networks
The solution of continuous and discrete-time Markovian models is still challenging mainly when we model large complex systems, for example, to obtain performance indexes of paralle...
Paulo Fernandes, Jean-Marc Vincent, Thais Webber
ML
2008
ACM
152views Machine Learning» more  ML 2008»
15 years 1 months ago
Learning near-optimal policies with Bellman-residual minimization based fitted policy iteration and a single sample path
Abstract. We consider batch reinforcement learning problems in continuous space, expected total discounted-reward Markovian Decision Problems. As opposed to previous theoretical wo...
András Antos, Csaba Szepesvári, R&ea...