Towards a high level programming paradigm to deploy e-science applications with dynamic workflows on large scale distributed systems Mohamed Ben Belgacem Nabil Abdennadher

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• Concurrent computing
• Parallel computing
• Computing
• IT infrastructure
• Cloud infrastructure
• Job scheduling
• Apache Hadoop
• Apache Software Foundation
• Data-intensive computing
• Workflow
• Algorithmic skeleton
• Programming paradigm

Minimax Differential Dynamic Programming: An Application to Robust Biped Walking Jun Morimoto Human Information Science Labs, Department 3, ATR International

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Empirical Dynamic Programming William B. Haskell ISE Department, National University of Singapore Rahul Jain*

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MarchRevised MayReport LIDS-P-3506 Stable Optimal Control and Semicontractive Dynamic Programming

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EE365: Deterministic Finite State Control Deterministic optimal control Shortest path problem Dynamic programming Examples

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AugustRevised JanuaryReport LIDS-P-3173 Regular Policies in Abstract Dynamic Programming

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EE365: Dynamic Programming Proof 1 Markov decision problem find policy µ = (µ0 , . . . , µT −1 ) that minimizes

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Regular Policies in Stochastic Optimal Control and Abstract Dynamic Programming Dimitri P. Bertsekas Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology

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Typed Open Programming A higher-order, typed approach to dynamic modularity and distribution Andreas Rossberg

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IEEE ADPRL 2017 Special Session: Title: Data-driven/Data-based Adaptive Dynamic Programming for Uncertain Nonlinear Systems Aim: Recently, data-driven/data-based reinforcement learning(RL) and adaptive dynamic programmi

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