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» Learning Qualitative Models of Dynamic Systems
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ATAL
2007
Springer
15 years 9 months ago
Model-based function approximation in reinforcement learning
Reinforcement learning promises a generic method for adapting agents to arbitrary tasks in arbitrary stochastic environments, but applying it to new real-world problems remains di...
Nicholas K. Jong, Peter Stone
ICIP
2008
IEEE
16 years 4 months ago
Learning action dictionaries from video
Summarizing the contents of a video containing human activities is an important problem in computer vision and has important applications in automated surveillance systems. Summar...
Pavan K. Turaga, Rama Chellappa
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...
PODC
2009
ACM
16 years 3 months ago
Load balancing without regret in the bulletin board model
We analyze the performance of protocols for load balancing in distributed systems based on no-regret algorithms from online learning theory. These protocols treat load balancing a...
Éva Tardos, Georgios Piliouras, Robert D. K...
JAR
2007
104views more  JAR 2007»
15 years 3 months ago
Student Proof Exercises Using MathsTiles and Isabelle/HOL in an Intelligent Book
The Intelligent Book project aims to improve online education by designing materials that can model the subject matter they teach, in the manner of a Reactive Learning Environment...
William Billingsley, Peter Robinson