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86
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NIPS
2007
15 years 2 months ago
Random Sampling of States in Dynamic Programming
We combine three threads of research on approximate dynamic programming: sparse random sampling of states, value function and policy approximation using local models, and using lo...
Christopher G. Atkeson, Benjamin Stephens
183
Voted
POPL
2005
ACM
16 years 1 months ago
A probabilistic language based upon sampling functions
As probabilistic computations play an increasing role in solving various problems, researchers have designed probabilistic languages that treat probability distributions as primit...
Sungwoo Park, Frank Pfenning, Sebastian Thrun
146
Voted
TACAS
2001
Springer
160views Algorithms» more  TACAS 2001»
15 years 5 months ago
Hardware/Software Co-Design Using Functional Languages
In previous work we have developed and prototyped a silicon compiler which translates a functional language (SAFL) into hardware. Here we present a SAFL-level program transformati...
Alan Mycroft, Richard Sharp
IPPS
1998
IEEE
15 years 5 months ago
Automatic Differentiation for Message-Passing Parallel Programs
Many applications require the derivatives of functions defined by computer programs. Automatic differentiation (AD) is a means of developing code to compute the derivatives of com...
Paul D. Hovland, Christian H. Bischof
ICFP
2003
ACM
16 years 20 days ago
Functional automatic differentiation with dirac impulses
Functional Reactive Programming (FRP) is a framework for reactive programming in a functional setting. FRP has been applied to a number of domains, such as graphical animation, gr...
Henrik Nilsson