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ICML
2006
IEEE
16 years 4 months ago
An analytic solution to discrete Bayesian reinforcement learning
Reinforcement learning (RL) was originally proposed as a framework to allow agents to learn in an online fashion as they interact with their environment. Existing RL algorithms co...
Pascal Poupart, Nikos A. Vlassis, Jesse Hoey, Kevi...
HICSS
2006
IEEE
160views Biometrics» more  HICSS 2006»
15 years 10 months ago
Cyber Defense Competitions and Information Security Education: An Active Learning Solution for a Capstone Course
The content of information security curricula spans a wide array of topics. Because of this variety, a program needs to focus on some particular aspect and provide appropriate dep...
Art Conklin
126
Voted
AINA
2007
IEEE
15 years 8 months ago
Fuzzy Recommendation towards QoS-Aware Pervasive Learning
Pervasive learning promises an exciting learning environment such that users can access content and study them at anytime, anywhere, through any devices. Besides delivering the ri...
Zhiwen Yu, Norman Lin, Yuichi Nakamura, Shoji Kaji...
ATAL
2008
Springer
15 years 6 months ago
Transfer of task representation in reinforcement learning using policy-based proto-value functions
Reinforcement Learning research is traditionally devoted to solve single-task problems. Therefore, anytime a new task is faced, learning must be restarted from scratch. Recently, ...
Eliseo Ferrante, Alessandro Lazaric, Marcello Rest...
CSCW
1998
ACM
15 years 3 months ago
Community Support for Constructionist Learning
MOOSE Crossing is a text-based virtual reality environment (or “MUD”) designed to be a constructionist learning environment for children ages eight to thirteen. The constructio...
Amy Bruckman