771 search results - page 87 / 155 » Markov Decision Processes with Arbitrary Reward Processes |
224
click to vote
SIGMOD
2007
ACM
16 years 4 months ago
2007
ACM
Managing uncertain data using probabilistic frameworks has attracted much interest lately in the database literature, and a central computational challenge is probabilistic infere...
114
click to vote
GECCO
2005
Springer
15 years 9 months ago
2005
Springer
ATNoSFERES is a Pittsburgh style Learning Classifier System (LCS) in which the rules are represented as edges of an Augmented Transition Network. Genotypes are strings of tokens ...
145
click to vote
NIPS
2001
15 years 5 months ago
2001
We show that states of a dynamical system can be usefully represented by multi-step, action-conditional predictions of future observations. State representations that are grounded...
146
Voted
NIPS
2008
15 years 5 months ago
2008
Decision making lies at the very heart of many psychiatric diseases. It is also a central theoretical concern in a wide variety of fields and has undergone detailed, in-depth, ana...
133
click to vote
NIPS
2000
15 years 5 months ago
2000
The problem of reinforcement learning in large factored Markov decision processes is explored. The Q-value of a state-action pair is approximated by the free energy of a product o...