682 search results - page 92 / 137 » One-Counter Markov Decision Processes |
ICML
2007
IEEE
16 years 1 months ago
2007
IEEE
This paper investigates the problem of automatically learning how to restructure the reward function of a Markov decision process so as to speed up reinforcement learning. We begi...
86
Voted
ICML
2008
IEEE
16 years 1 months ago
2008
IEEE
In apprenticeship learning, the goal is to learn a policy in a Markov decision process that is at least as good as a policy demonstrated by an expert. The difficulty arises in tha...
89
Voted
ICML
2008
IEEE
16 years 1 months ago
2008
IEEE
In this paper we introduce a novel approach to manifold alignment, based on Procrustes analysis. Our approach differs from "semisupervised alignment" in that it results ...
100
Voted
ICML
2003
IEEE
16 years 1 months ago
2003
IEEE
We present metric?? , a provably near-optimal algorithm for reinforcement learning in Markov decision processes in which there is a natural metric on the state space that allows t...
97
Voted
EVOW
2009
Springer
15 years 7 months ago
2009
Springer
This paper presents a successful application of parallel (grid) coevolution applied to the building of an opening book (OB) in 9x9 Go. Known sayings around the game of Go are refou...