Some Essential Programming Algorithms

1997 ◽  
pp. 471-532
Author(s):  
David R. Brooks
Keyword(s):  
Programming Algorithms

scholarly journals Optimal Policies for Quantum Markov Decision Processes

2021 ◽  
Author(s):  
Ming-Sheng Ying ◽  
Yuan Feng ◽  
Sheng-Gang Ying
Keyword(s):  
Decision Making ◽  
Reinforcement Learning ◽  
Quantum Systems ◽  
Sequential Decision Making ◽  
Mathematical Framework ◽  
Sequential Decision ◽  
Learning Techniques ◽  
Optimal Policies ◽  
Markov Decision ◽  
Programming Algorithms

AbstractMarkov decision process (MDP) offers a general framework for modelling sequential decision making where outcomes are random. In particular, it serves as a mathematical framework for reinforcement learning. This paper introduces an extension of MDP, namely quantum MDP (qMDP), that can serve as a mathematical model of decision making about quantum systems. We develop dynamic programming algorithms for policy evaluation and finding optimal policies for qMDPs in the case of finite-horizon. The results obtained in this paper provide some useful mathematical tools for reinforcement learning techniques applied to the quantum world.

Efficient Execution of Dynamic Programming Algorithms on Apache Spark

2020 ◽  
Author(s):  
Mohammad Mahdi Javanmard ◽  
Zafar Ahmad ◽  
Jaroslaw Zola ◽  
Louis-Noel Pouchet ◽  
Rezaul Chowdhury ◽  
...  
Keyword(s):  
Dynamic Programming ◽  
Apache Spark ◽  
Programming Algorithms ◽  
Efficient Execution

scholarly journals Penalty Functions for Genetic Programming Algorithms

2011 ◽  
pp. 550-562 ◽  
Author(s):  
José L. Montaña ◽  
César L. Alonso ◽  
Cruz Enrique Borges ◽  
Javier de la Dehesa
Keyword(s):  
Genetic Programming ◽  
Penalty Functions ◽  
Programming Algorithms
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