682 search results - page 121 / 137 » One-Counter Markov Decision Processes |
89
Voted
ACMACE
2008
ACM
15 years 2 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...
117
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ATAL
2008
Springer
15 years 2 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...
89
Voted
ATAL
2008
Springer
15 years 2 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 ...
82
Voted
AAAI
2010
15 years 2 months ago
2010
The behavior of a complex system often depends on parameters whose values are unknown in advance. To operate effectively, an autonomous agent must actively gather information on t...
108
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AAAI
2010
15 years 2 months ago
2010
Partially-observable Markov decision processes (POMDPs) provide a powerful model for sequential decision-making problems with partially-observed state and are known to have (appro...