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ICML
2005
IEEE
16 years 7 months ago
Proto-value functions: developmental reinforcement learning
This paper presents a novel framework called proto-reinforcement learning (PRL), based on a mathematical model of a proto-value function: these are task-independent basis function...
Sridhar Mahadevan
VLSID
1996
IEEE
135views VLSI» more  VLSID 1996»
15 years 10 months ago
Cubical CAMP for minimization of Boolean functions
The paper presents QCAMP, a cube-based algorithm for minimization of single Boolean functions. The algorithm does not generate all the prime cubes, nor does it require the Off-set...
Nripendra N. Biswas, C. Srikanth, James Jacob
AAAI
2007
15 years 8 months ago
Compact Spectral Bases for Value Function Approximation Using Kronecker Factorization
A new spectral approach to value function approximation has recently been proposed to automatically construct basis functions from samples. Global basis functions called proto-val...
Jeffrey Johns, Sridhar Mahadevan, Chang Wang
ATAL
2008
Springer
15 years 8 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...
GECCO
2008
Springer
116views Optimization» more  GECCO 2008»
15 years 7 months ago
Evolving similarity functions for code plagiarism detection
Students are often asked to submit electronic copies of their program code as part of assessment in computer science courses. To counter code plagiarism, educational institutions ...
Victor Ciesielski, Nelson Wu, Seyed M. M. Tahaghog...