50 search results - page 4 / 10 » State Space Search for Risk-Averse Agents |
AAAI
2000
13 years 7 months ago
2000
Reinforcement learning (RL) can be impractical for many high dimensional problems because of the computational cost of doing stochastic search in large state spaces. We propose a ...
AAAI
2004
13 years 7 months ago
2004
We consider how to use external memory, such as disk storage, to improve the scalability of heuristic search in statespace graphs. To limit the number of slow disk I/O operations,...
AAAI
2008
13 years 8 months ago
2008
Most former studies of Distributed Constraint Optimization Problems (DisCOPs) search considered only complete search algorithms, which are practical only for relatively small prob...
CASCON
1996
13 years 7 months ago
1996
Object search is the task of eciently searching for a given 3D object in a given 3D environment by an agent equipped with a camera for target detection and, if the environment con...
ICML
1994
IEEE
13 years 9 months ago
1994
IEEE
Reinforcement learning (RL) algorithms provide a sound theoretical basis for building learning control architectures for embedded agents. Unfortunately all of the theory and much ...