Jad Soucar

Jad Soucar

Ph.D Student @ University of Southern California

Posts by Tags

Adverserial Signaling Game

Adverserial Signaling Games: Stochastic Approach

6 minute read

Published:

In the previous post we described an adversarial signaling game as a two player game, where each player has the capacity to manipulate a shared environment. Additionally each player can observe the others’ actions along with the effect of those actions on the shared environment. Hidden intention’s, however, may remain obfuscated. We first offered a quantum games approach to modeling an aversarial signaling game. The second potential approach is to model the two-player adversarial signaling game using classical stochastic control. Specifically we make use of the Hamilton-Jacobi-Isaacs (HJI) equations which naturally arises in the context of zero-sum differential games, where...

Adverserial Signaling Games

Adverserial Signaling Games: Quantum Approach

17 minute read

Published:

We describe an adversarial Signaling game as a two player game, where each player has the capacity to manipulate a shared environment. Additionally each player can observe the others’ actions along with the effect of those actions on the shared environment. Hidden intention’s, however, may remain obfuscated. Within this game structure there are a few features to take note of which we describe bellow along with an examples from finance, military strategy, political strategy and cyber secruity.

Deep Q Learning

Deep Q Learning

9 minute read

Published:

In this post we aim to provide the relevant mathematical and programmatic background for implementing a Deep Q Learning algorithm. We discuss what Q learning is and how the principles from classical Q learning can be used to construct deep Q learning algorithms in Python. We will be borrowing heavily from Brunton and Kutz’s book titled Data-Driven Science and Engineering; Machine Learning, Dynamical Systems, and Control.

Hamilton-Jacobi-Bellman'

Adverserial Signaling Games: Stochastic Approach

6 minute read

Published:

In the previous post we described an adversarial signaling game as a two player game, where each player has the capacity to manipulate a shared environment. Additionally each player can observe the others’ actions along with the effect of those actions on the shared environment. Hidden intention’s, however, may remain obfuscated. We first offered a quantum games approach to modeling an aversarial signaling game. The second potential approach is to model the two-player adversarial signaling game using classical stochastic control. Specifically we make use of the Hamilton-Jacobi-Isaacs (HJI) equations which naturally arises in the context of zero-sum differential games, where...

Quantum Games

Adverserial Signaling Games: Quantum Approach

17 minute read

Published:

We describe an adversarial Signaling game as a two player game, where each player has the capacity to manipulate a shared environment. Additionally each player can observe the others’ actions along with the effect of those actions on the shared environment. Hidden intention’s, however, may remain obfuscated. Within this game structure there are a few features to take note of which we describe bellow along with an examples from finance, military strategy, political strategy and cyber secruity.