75 search results - page 4 / 15 » A Predictive Model for Imitation Learning in Partially Obser... |
ECML
2005
Springer
13 years 11 months ago
2005
Springer
Partially Observable Markov Decision Processes (POMDP) provide a standard framework for sequential decision making in stochastic environments. In this setting, an agent takes actio...
IJCNN
2006
IEEE
14 years 18 hour ago
2006
IEEE
— We propose a method that takes observations of a random vector as input, and learns to segment each observation into two disjoint parts. We show how to use the internal coheren...
ICML
2004
IEEE
14 years 6 months ago
2004
IEEE
This paper addresses the problem of constructing good action selection policies for agents acting in partially observable environments, a class of problems generally known as Part...
ICML
2009
IEEE
14 years 6 months ago
2009
IEEE
We propose a new neural network architecture, called Simple Recurrent Temporal-Difference Networks (SR-TDNs), that learns to predict future observations in partially observable en...
ICML
2004
IEEE
14 years 6 months ago
2004
IEEE
Predictive state representations (PSRs) have recently been proposed as an alternative to partially observable Markov decision processes (POMDPs) for representing the state of a dy...