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ATAL
2006
Springer
15 years 1 months ago
Learnable behavioural model for autonomous virtual agents: low-level learning
In this paper, we propose a new integration approach for simulation and behaviour in the learning context that is able to coherently manage the shared virtual environment for the ...
Toni Conde, Daniel Thalmann
IJAIT
2007
69views more  IJAIT 2007»
14 years 9 months ago
A Psychogenetic Algorithm for Behavioral Sequence Learning
: This work presents an original algorithmic model of some essential features of psychogenetic theory, as was proposed by J.Piaget. Specifically, we modeled some elements of cognit...
Vittorio Maniezzo, Matteo Roffilli
ICML
1994
IEEE
15 years 1 months ago
Learning Without State-Estimation in Partially Observable Markovian Decision Processes
Reinforcement learning (RL) algorithms provide a sound theoretical basis for building learning control architectures for embedded agents. Unfortunately all of the theory and much ...
Satinder P. Singh, Tommi Jaakkola, Michael I. Jord...
TKDE
2010
137views more  TKDE 2010»
14 years 8 months ago
A Survey on Transfer Learning
—A major assumption in many machine learning and data mining algorithms is that the training and future data must be in the same feature space and have the same distribution. How...
Sinno Jialin Pan, Qiang Yang
AAAI
2011
13 years 9 months ago
Trajectory Regression on Road Networks
This paper addresses the task of trajectory cost prediction, a new learning task for trajectories. The goal of this task is to predict the cost for an arbitrary (possibly unknown)...
Tsuyoshi Idé, Masashi Sugiyama