374 search results - page 59 / 75 » Multiagent Reinforcement Learning: Theoretical Framework and... |
ICCV
2007
IEEE
14 years 9 months ago
2007
IEEE
Most existing subspace analysis-based tracking algorithms utilize a flattened vector to represent a target, resulting in a high dimensional data learning problem. Recently, subspa...
ICML
2010
IEEE
13 years 8 months ago
2010
IEEE
We present new algorithms for inverse optimal control (or inverse reinforcement learning, IRL) within the framework of linearlysolvable MDPs (LMDPs). Unlike most prior IRL algorit...
GECCO
2009
Springer
14 years 2 months ago
2009
Springer
This paper presents an approach to automatically optimize the retrieval quality of ranking functions. Taking a Swarm Intelligence perspective, we present a novel method, SwarmRank...
ATAL
2009
Springer
14 years 2 months ago
2009
Springer
Sensor nodes are often used to collect data from locations inaccessible or hazardous for humans. As they are not under normal supervision, these nodes are particularly susceptible...
ICML
2010
IEEE
13 years 8 months ago
2010
IEEE
We present a theoretical analysis of supervised ranking, providing necessary and sufficient conditions for the asymptotic consistency of algorithms based on minimizing a surrogate...