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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
AAAI
2006
15 years 7 months ago
Sample-Efficient Evolutionary Function Approximation for Reinforcement Learning
Reinforcement learning problems are commonly tackled with temporal difference methods, which attempt to estimate the agent's optimal value function. In most real-world proble...
Shimon Whiteson, Peter Stone
HPDC
2007
IEEE
16 years 23 days ago
Precise and realistic utility functions for user-centric performance analysis of schedulers
Utility functions can be used to represent the value users attach to job completion as a function of turnaround time. Most previous scheduling research used simple synthetic repre...
Cynthia Bailey Lee, Allan Snavely
CORR
2007
Springer
93views Education» more  CORR 2007»
15 years 6 months ago
Solving the Hamiltonian path problem with a light-based computer
Abstract. In this paper we suggest the use of light for performing useful computations. Namely, we propose a special computational device which uses light rays for solving the Hami...
Mihai Oltean
3DPVT
2004
IEEE
146views Visualization» more  3DPVT 2004»
15 years 10 months ago
Estimating the Surface Radiance Function from Single Images
This paper describes a simple method for estimating the surface radiance function from single images of smooth surfaces made of materials whose reflectance function is isotropic a...
Antonio Robles-Kelly, Edwin R. Hancock