Nov 10, 2023 · A game with nature for known state probabilities is considered. An optimality principle is proposed for decision-making for games with ...
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A game with nature for known state probabilities is considered. An optimality principle is proposed for decision-making for games with nature, based on ...
Abstract. A game with nature for known state probabilities is consid- ered. An optimality principle is proposed for decision-making for games.
A game with nature for known state probabilities is considered. An optimality principle is proposed for decision-making for games with nature, based on ...
This study proposes a new criterion for choosing the optimal decision in a game against nature under a partial a priori uncertainty.
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Section 9.2 covers making a single decision under uncertainty, which is typically referred to as decision theory. 437. 438. S. M. LaValle: Planning Algorithms.
We use this relationship to draw upon a key concept used in game theory, the use of mixed strategies, and apply this idea to decision making under uncertainty.
Missing: Conditions Probabilistic
Probabilistic models are viewed as similar to that of a game; actions are based on expected outcomes. The center of interest moves from the deterministic to ...
This lecture is an introduction to decision theory, which gives tools for making rational choices in face of uncertainty. It is useful in all kinds of ...
May 30, 2023 · This position paper reflects on the state-of-the-art in decision-making under uncertainty. A classical assumption is that probabilities can ...