113 search results - page 21 / 23 » Learning Representation and Control in Continuous Markov Dec... |
PAMI
2002
13 years 8 months ago
2002
We introduce a formalism for optimal sensor parameter selection for iterative state estimation in static systems. Our optimality criterion is the reduction of uncertainty in the st...
ICMLA
2009
13 years 6 months ago
2009
In sequential decision making under uncertainty, as in many other modeling endeavors, researchers observe a dynamical system and collect data measuring its behavior over time. The...
NN
2002
Springer
13 years 8 months ago
2002
Springer
Acetylcholine (ACh) plays an important role in a wide variety of cognitive tasks, such as perception, selective attention, associative learning, and memory. Extensive experimental...
FUZZIEEE
2007
IEEE
14 years 3 months ago
2007
IEEE
— Reinforcement learning (RL) is a learning control paradigm that provides well-understood algorithms with good convergence and consistency properties. Unfortunately, these algor...
NIPS
1998
13 years 10 months ago
1998
In this paper, we consider Markov Decision Processes (MDPs) with error states. Error states are those states entering which is undesirable or dangerous. We define the risk with re...