Similarities between Game theory and Hamilton–Jacobi–Bellman equation
Game theory and Hamilton–Jacobi–Bellman equation have 6 things in common (in Unionpedia): Backward induction, Minimax, Optimal control, Pierre-Louis Lions, Pontryagin's maximum principle, Proceedings of the National Academy of Sciences of the United States of America.
Backward induction
Backward induction is the process of reasoning backwards in time, from the end of a problem or situation, to determine a sequence of optimal actions.
Backward induction and Game theory · Backward induction and Hamilton–Jacobi–Bellman equation ·
Minimax
Minimax (sometimes MinMax or MM) is a decision rule used in decision theory, game theory, statistics and philosophy for minimizing the possible loss for a worst case (maximum loss) scenario.
Game theory and Minimax · Hamilton–Jacobi–Bellman equation and Minimax ·
Optimal control
Optimal control theory deals with the problem of finding a control law for a given system such that a certain optimality criterion is achieved.
Game theory and Optimal control · Hamilton–Jacobi–Bellman equation and Optimal control ·
Pierre-Louis Lions
Pierre-Louis Lions (born 11 August 1956) is a French mathematician.
Game theory and Pierre-Louis Lions · Hamilton–Jacobi–Bellman equation and Pierre-Louis Lions ·
Pontryagin's maximum principle
Pontryagin's maximum (or minimum) principle is used in optimal control theory to find the best possible control for taking a dynamical system from one state to another, especially in the presence of constraints for the state or input controls.
Game theory and Pontryagin's maximum principle · Hamilton–Jacobi–Bellman equation and Pontryagin's maximum principle ·
Proceedings of the National Academy of Sciences of the United States of America
Proceedings of the National Academy of Sciences of the United States of America (PNAS) is the official scientific journal of the National Academy of Sciences, published since 1915.
Game theory and Proceedings of the National Academy of Sciences of the United States of America · Hamilton–Jacobi–Bellman equation and Proceedings of the National Academy of Sciences of the United States of America ·
The list above answers the following questions
- What Game theory and Hamilton–Jacobi–Bellman equation have in common
- What are the similarities between Game theory and Hamilton–Jacobi–Bellman equation
Game theory and Hamilton–Jacobi–Bellman equation Comparison
Game theory has 289 relations, while Hamilton–Jacobi–Bellman equation has 28. As they have in common 6, the Jaccard index is 1.89% = 6 / (289 + 28).
References
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