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2007
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13 years 9 months ago
The Stochastic Motion Roadmap: A Sampling Framework for Planning with Markov Motion Uncertainty
— We present a new motion planning framework that explicitly considers uncertainty in robot motion to maximize the probability of avoiding collisions and successfully reaching a ...
Ron Alterovitz, Thierry Siméon, Kenneth Y. ...
ESOP
1999
Springer
13 years 11 months ago
Dynamic Programming via Static Incrementalization
Abstract. Dynamicprogramming is an importantalgorithm design technique. It is used for solving problems whose solutions involve recursively solving subproblems that share subsubpro...
Yanhong A. Liu, Scott D. Stoller
ICALP
2004
Springer
14 years 27 days ago
Easily Refutable Subformulas of Large Random 3CNF Formulas
Abstract. A simple nonconstructive argument shows that most 3CNF formulas with cn clauses (where c is a large enough constant) are not satisfiable. It is an open question whether ...
Uriel Feige, Eran Ofek
TAPSOFT
1991
Springer
13 years 11 months ago
Type Inference with Inequalities
Type inference can be phrased as constraint-solving over types. We consider an implicitly typed language equipped with recursive types, multiple inheritance, 1st order parametric ...
Michael I. Schwartzbach
ICALP
2011
Springer
12 years 11 months ago
New Algorithms for Learning in Presence of Errors
We give new algorithms for a variety of randomly-generated instances of computational problems using a linearization technique that reduces to solving a system of linear equations...
Sanjeev Arora, Rong Ge