388 search results - page 7 / 78 » Learning to Optimize Plan Execution in Information Agents |
ATAL
1999
Springer
13 years 11 months ago
1999
Springer
In the RETSINA multi-agent system, each agent is provided with an internal planning component—the RETSINA planner. Each agent, using its internal planner, formulates detailed pla...
VLDB
2001
ACM
13 years 12 months ago
2001
ACM
Most modern DBMS optimizers rely upon a cost model to choose the best query execution plan (QEP) for any given query. Cost estimates are heavily dependent upon the optimizer’s e...
IAT
2009
IEEE
14 years 2 months ago
2009
IEEE
—When information or control in a multiagent system is private to the agents, they may misreport this information or refuse to execute an agreed outcome, in order to change the r...
BTW
2005
Springer
14 years 1 months ago
2005
Springer
: Optimizers in modern DBMSs utilize a cost model to choose an efficient query execution plan (QEP) among all possible ones for a given query. The accuracy of the cost estimates de...
AI
2001
Springer
13 years 12 months ago
2001
Springer
Reinforcement learning techniques are increasingly being used to solve di cult problems in control and combinatorial optimization with promising results. Implicit imitation can acc...