388 search results - page 35 / 78 » Learning to Optimize Plan Execution in Information Agents |
RSS
2007
13 years 10 months ago
2007
Abstract— This paper proposes a simulation-based active policy learning algorithm for finite-horizon, partially-observed sequential decision processes. The algorithm is tested i...
AAAI
2000
13 years 10 months ago
2000
Graphplan and heuristic state space planners such as HSP-R and UNPOP are currently two of the most effective approaches for solving classical planning problems. These approaches h...
AAAI
1998
13 years 10 months ago
1998
A key problem in text summarization is finding a salience function which determines what information in the source should be included in the summary. This paper describes the use ...
ECML
2005
Springer
14 years 2 months ago
2005
Springer
This paper examines the problem of finding an optimal policy for a Partially Observable Markov Decision Process (POMDP) when the model is not known or is only poorly specified. W...
IAT
2006
IEEE
14 years 2 months ago
2006
IEEE
Differential games (DGs), considered as a typical model of game with continuous states and non-linear dynamics, play an important role in control and optimization. Finding optimal...