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GECCO
2009
Springer
162views Optimization» more  GECCO 2009»
15 years 27 days ago
Uncertainty handling CMA-ES for reinforcement learning
The covariance matrix adaptation evolution strategy (CMAES) has proven to be a powerful method for reinforcement learning (RL). Recently, the CMA-ES has been augmented with an ada...
Verena Heidrich-Meisner, Christian Igel
176
Voted
CVPR
2009
IEEE
16 years 10 months ago
Learning a Distance Metric from Multi-instance Multi-label Data
Multi-instance multi-label learning (MIML) refers to the learning problems where each example is represented by a bag/collection of instances and is labeled by multiple labels. ...
Rong Jin (Michigan State University), Shijun Wang...
ECLIPSE
2006
ACM
15 years 9 months ago
A focused learning environment for Eclipse
The support available in Eclipse to help software developers learn complex APIs and development tools is inadequate; the support is largely passive and the support typically opera...
Izzet Safer, Gail C. Murphy, Julie Waterhouse, Jin...
ATAL
2006
Springer
15 years 6 months ago
Learning trust strategies in reputation exchange networks
An agent's trust decision strategy consists of the agent's policies for making trust-related decisions, such as who to trust, how trustworthy to be, what reputations to ...
Karen Fullam, K. Suzanne Barber
ATAL
2008
Springer
15 years 5 months ago
The intermediary agent's brain: supporting learning to collaborate at the inter-personal level
We discuss the design of the Intermediary Agent's brain, the control module of an embodied conversational virtual peer in a simulation game aimed at providing learning experi...
Juan Martínez-Miranda, Bernhard Jung, Sabin...