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126
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ICML
2005
IEEE
16 years 4 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
152
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AAAI
2006
15 years 5 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
134
Voted
HPDC
2007
IEEE
15 years 10 months 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
113
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CORR
2007
Springer
93views Education» more  CORR 2007»
15 years 3 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
116
Voted
3DPVT
2004
IEEE
146views Visualization» more  3DPVT 2004»
15 years 7 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