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» Combining programs and state machines
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HCW
1999
IEEE
14 years 1 months ago
Metacomputing with MILAN
The MILAN project, a joint effort involving Arizona State University and New York University, has produced and validated fundamental techniques for the realization of efficient, r...
Arash Baratloo, Partha Dasgupta, Vijay Karamcheti,...
ICML
2005
IEEE
14 years 9 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
COMPCON
1995
IEEE
14 years 8 days ago
Tempest: A Substrate for Portable Parallel Programs
This paper describes Tempest, a collection of mechanisms for communication and synchronization in parallel programs. With these mechanisms, authors of compilers, libraries, and ap...
Mark D. Hill, James R. Larus, David A. Wood
ICML
2008
IEEE
14 years 9 months ago
Space-indexed dynamic programming: learning to follow trajectories
We consider the task of learning to accurately follow a trajectory in a vehicle such as a car or helicopter. A number of dynamic programming algorithms such as Differential Dynami...
J. Zico Kolter, Adam Coates, Andrew Y. Ng, Yi Gu, ...
ICALP
2009
Springer
14 years 9 months ago
B-Treaps: A Uniquely Represented Alternative to B-Trees
We present the first uniquely represented data structure for an external memory model of computation, a B-tree analogue called a B-treap. Uniquely represented data structures repre...
Daniel Golovin