53 search results - page 8 / 11 » Learning first-order Markov models for control |
NN
2002
Springer
13 years 7 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...
ICRA
2003
IEEE
14 years 19 days ago
2003
IEEE
— In this paper we present a novel method for robot path planning based on learning motion patterns. A motion pattern is defined as the path that results from applying a set of ...
ATAL
2010
Springer
13 years 8 months ago
2010
Springer
Decentralized reinforcement learning (DRL) has been applied to a number of distributed applications. However, one of the main challenges faced by DRL is its convergence. Previous ...
JMLR
2002
13 years 7 months ago
2002
The temporal distance between events conveys information essential for numerous sequential tasks such as motor control and rhythm detection. While Hidden Markov Models tend to ign...
NIPS
1998
13 years 8 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...