373 search results - page 46 / 75 » Covariant Policy Search |
SMC
2007
IEEE
14 years 3 months ago
2007
IEEE
—Reinforcement learning is a framework in which an agent can learn behavior without knowledge on a task or an environment by exploration and exploitation. Striking a balance betw...
ICCBR
2003
Springer
14 years 2 months ago
2003
Springer
CBR applications running in real domains can easily reach thousands of cases, which are stored in the case library. Retrieval times can increase greatly if the retrieval algorithm ...
GECCO
2006
Springer
14 years 20 days ago
2006
Springer
In reinforcement learning, an agent interacting with its environment strives to learn a policy that specifies, for each state it may encounter, what action to take. Evolutionary c...
USENIX
2003
13 years 10 months ago
2003
— This paper proposes CUP, a protocol for performing Controlled Update Propagation to maintain caches of metadata in peer-to-peer networks. To moderate propagation without imposi...
FGCS
2007
13 years 9 months ago
2007
: Metaschedulers in the Grid needs dynamic information to support their scheduling decisions. Job response time on computing resources, for instance, is such a performance metric. ...