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» Average Case Analysis of Conjunctive Learning Algorithms
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NIPS
2004
13 years 9 months ago
Convergence and No-Regret in Multiagent Learning
Learning in a multiagent system is a challenging problem due to two key factors. First, if other agents are simultaneously learning then the environment is no longer stationary, t...
Michael H. Bowling
ICML
2010
IEEE
13 years 8 months ago
Efficient Reinforcement Learning with Multiple Reward Functions for Randomized Controlled Trial Analysis
We introduce new, efficient algorithms for value iteration with multiple reward functions and continuous state. We also give an algorithm for finding the set of all nondominated a...
Daniel J. Lizotte, Michael H. Bowling, Susan A. Mu...
SAS
2009
Springer
171views Formal Methods» more  SAS 2009»
14 years 8 months ago
Bottom-Up Shape Analysis
In this paper we present a new shape analysis algorithm. The key distinguishing aspect of our algorithm is that it is completely compositional, bottom-up and non-iterative. We pres...
Bhargav S. Gulavani, Supratik Chakraborty, Ganesan...
RE
2008
Springer
13 years 6 months ago
Use and Influence of Creative Ideas and Requirements for a Work-Integrated Learning System
In this paper, we describe a creativity workshop that was used in a large research project, called APOSDLE, to generate creative ideas and requirements for a workintegrated learni...
Sara Jones, Perry Lynch, Neil A. M. Maiden, Stefan...
EDUTAINMENT
2007
Springer
14 years 1 months ago
Method of Motion Data Processing Based on Manifold Learning
Due to the high-dimensionality of motion captured data which resulted in the complexity in motion analysis, a method of motion data processing based on manifold learning was propos...
Fengxia Li, Tianyu Huang, Lijie Li