332 search results - page 10 / 67 » Ranking policies in discrete Markov decision processes |
NIPS
2004
13 years 9 months ago
2004
We consider an MDP setting in which the reward function is allowed to change during each time step of play (possibly in an adversarial manner), yet the dynamics remain fixed. Simi...
TSMC
2011
13 years 2 months ago
2011
—This paper introduces an algorithm for direct search of control policies in continuous-state discrete-action Markov decision processes. The algorithm looks for the best closed-l...
HCI
2009
13 years 5 months ago
2009
Sign language (SL) recognition modules in human-computer interaction systems need to be both fast and reliable. In cases where multiple sets of features are extracted from the SL d...
LICS
2007
IEEE
14 years 2 months ago
2007
IEEE
Markov decision processes (MDPs) are controllable discrete event systems with stochastic transitions. The payoff received by the controller can be evaluated in different ways, dep...
STACS
2007
Springer
14 years 2 months ago
2007
Springer
Markov decision processes (MDPs) are controllable discrete event systems with stochastic transitions. Performances of an MDP are evaluated by a payoff function. The controller of ...