312 search results - page 27 / 63 » Learning Partially Observable Deterministic Action Models |
JMLR
2006
14 years 9 months ago
2006
We propose a novel approach to optimize Partially Observable Markov Decisions Processes (POMDPs) defined on continuous spaces. To date, most algorithms for model-based POMDPs are ...
69
Voted
ALT
2008
Springer
15 years 6 months ago
2008
Springer
The question investigated in this paper is to what extent an input representation influences the success of learning, in particular from the point of view of analyzing agents that...
AIPS
2008
14 years 12 months ago
2008
Enforced hill-climbing is an effective deterministic hillclimbing technique that deals with local optima using breadth-first search (a process called "basin flooding"). ...
62
Voted
NIPS
2008
14 years 11 months ago
2008
In this paper we propose a new incremental spike sorting model that automatically eliminates refractory period violations, accounts for action potential waveform drift, and can ha...
IUI
1997
ACM
15 years 1 months ago
1997
ACM
This paper describes ActionStreams, a system for inducing task models from observations of user activity. The model can represent several task structures: hierarchy, variable sequ...