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ECCV
2008
Springer
15 years 11 months ago
Human Activity Recognition with Metric Learning
This paper proposes a metric learning based approach for human activity recognition with two main objectives: (1) reject unfamiliar activities and (2) learn with few examples. We s...
Du Tran, Alexander Sorokin
ECML
2005
Springer
15 years 3 months ago
Using Rewards for Belief State Updates in Partially Observable Markov Decision Processes
Partially Observable Markov Decision Processes (POMDP) provide a standard framework for sequential decision making in stochastic environments. In this setting, an agent takes actio...
Masoumeh T. Izadi, Doina Precup
ICML
2005
IEEE
15 years 10 months ago
Bayesian sparse sampling for on-line reward optimization
We present an efficient "sparse sampling" technique for approximating Bayes optimal decision making in reinforcement learning, addressing the well known exploration vers...
Tao Wang, Daniel J. Lizotte, Michael H. Bowling, D...
ECAI
2004
Springer
15 years 3 months ago
Planning with Numerical Expressions in LPG
Abstract. We present some techniques for handling planning problems with numerical expressions that can be specified using the standard planning language PDDL. These techniques ar...
Alfonso Gerevini, Alessandro Saetti, Ivan Serina
JLP
2007
74views more  JLP 2007»
14 years 9 months ago
Linearity and bisimulation
Exploiting linear type structure, we introduce a new theory bisimilarity for the π-calculus in which we abstract away not only τ-actions but also non-τ actions which do not aff...
Nobuko Yoshida, Kohei Honda, Martin Berger