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POPL
2010
ACM
14 years 2 months ago
From Program Verification to Program Synthesis
This paper describes a novel technique for the synthesis of imperative programs. Automated program synthesis has the potential to make programming and the design of systems easier...
Saurabh Srivastava, Sumit Gulwani, Jeffrey S. Fost...
JMLR
2010
148views more  JMLR 2010»
12 years 11 months ago
A Generalized Path Integral Control Approach to Reinforcement Learning
With the goal to generate more scalable algorithms with higher efficiency and fewer open parameters, reinforcement learning (RL) has recently moved towards combining classical tec...
Evangelos Theodorou, Jonas Buchli, Stefan Schaal
GECCO
2004
Springer
155views Optimization» more  GECCO 2004»
13 years 10 months ago
Genetic Network Programming with Reinforcement Learning and Its Performance Evaluation
A new graph-based evolutionary algorithm named “Genetic Network Programming, GNP” has been proposed. GNP represents its solutions as directed graph structures, which can improv...
Shingo Mabu, Kotaro Hirasawa, Jinglu Hu
JACM
2006
98views more  JACM 2006»
13 years 4 months ago
Distribution sort with randomized cycling
Parallel independent disks can enhance the performance of external memory (EM) algorithms, but the programming task is often di cult. In this paper we develop randomized variants ...
Jeffrey Scott Vitter, David A. Hutchinson
ICML
2002
IEEE
14 years 5 months ago
Algorithm-Directed Exploration for Model-Based Reinforcement Learning in Factored MDPs
One of the central challenges in reinforcement learning is to balance the exploration/exploitation tradeoff while scaling up to large problems. Although model-based reinforcement ...
Carlos Guestrin, Relu Patrascu, Dale Schuurmans