69 search results - page 10 / 14 » Goal Achievement in Partially Known, Partially Observable Do... |
CORR
2011
Springer
12 years 10 months ago
2011
Springer
We study decision making in environments where the reward is only partially observed, but can be modeled as a function of an action and an observed context. This setting, known as...
ICASSP
2011
IEEE
12 years 10 months ago
2011
IEEE
We address several challenges for applying statistical dialog managers based on Partially Observable Markov Models to real world problems: to deal with large numbers of concepts, ...
CORR
2011
Springer
12 years 10 months ago
2011
Springer
The richness of natural images makes the quest for optimal representations in image processing and computer vision challenging. The latter observation has not prevented the design...
ECAI
2004
Springer
14 years 11 days ago
2004
Springer
In this paper we describe IPSS (Integrated Planning and Scheduling System), a domain independent solver that integrates an AI heuristic planner, that synthesizes courses of actions...
ICML
2006
IEEE
14 years 7 months ago
2006
IEEE
Reinforcement learning (RL) was originally proposed as a framework to allow agents to learn in an online fashion as they interact with their environment. Existing RL algorithms co...