2990 search results - page 547 / 598 » Hidden Markov processes |
AIPS
2007
15 years 2 days ago
2007
In sequential decision-making problems formulated as Markov decision processes, state-value function approximation using domain features is a critical technique for scaling up the...
ACMACE
2008
ACM
14 years 11 months ago
2008
ACM
In this paper, we present a new entertainment adaptive framework AIRSF for stress free air travels. Based on the passenger's current and target comfort states, user entertain...
ATAL
2008
Springer
14 years 11 months ago
2008
Springer
Future agent applications will increasingly represent human users autonomously or semi-autonomously in strategic interactions with similar entities. Hence, there is a growing need...
ATAL
2008
Springer
14 years 11 months ago
2008
Springer
The goal of Reinforcement learning (RL) is to maximize reward (minimize cost) in a Markov decision process (MDP) without knowing the underlying model a priori. RL algorithms tend ...
CPAIOR
2008
Springer
14 years 11 months ago
2008
Springer
The one-step anticipatory algorithm (1s-AA) is an online algorithm making decisions under uncertainty by ignoring future non-anticipativity constraints. It makes near-optimal decis...