Concept

Strategy (game theory)

Related lectures (30)

Static Games: Introduction to Game Theory Concepts

Covers the basics of static games and introduces key game theory concepts, including the Prisoner's Dilemma and Nash Equilibrium.

Game Theory: Learning in Finite Action Games

Covers learning dynamics in finite action games and explores various types of equilibria, including correlated and coarse correlated equilibria.

Multistage Games: Extensive Form and Feedback Strategies

Explores multistage games, focusing on extensive form and feedback strategies, including Nash equilibria and backward induction methods.

Markov Games: Concepts and Applications in Reinforcement Learning

Covers Markov games, their dynamics, equilibria, and applications in reinforcement learning.

Mendeleev Underground

Offers a methodology to identify possible locations for underground architecture.

Introduction to Game Theory

Covers game theory fundamentals, Nash equilibrium, and strategic interactions in multi-agent systems.

Beyond equilibrium: A dynamical systems approach to learning in games

Delves into learning dynamics in games, exploring chaos, limit cycles, and the interplay between convergence and chaos.

Carving the Mass

Delves into the excavation process and strategies in underground architecture.

Grant Writing: Tips and Strategies

Explores grant writing tips, starting early, addressing risks, proposing alternatives, and being clear about observables and outcomes.

Game Theory Applications: Project Proposals and Examples

Provides guidance on project proposals in game theory, showcasing past examples and emphasizing problem formulation and mathematical modeling.

Zero-Sum Games: Concepts and Applications

Covers zero-sum games, focusing on Nash equilibria, security strategies, and their applications in various scenarios.

Corporate Strategy: Introduction

Covers the basics of corporate strategy, including the definition, importance, and evaluation of strategies, with interactive activities and case study discussions.

Potential Games: Best Response Dynamics and Nash Equilibria

Covers potential games, best response dynamics, and the convergence to Nash equilibria.

Robustness and Diffusion Models

Explores robustness in GAN training, Gaussian algorithms, saddle points, and mixed Nash equilibrium.

Babyfoot: Strategy and Development

Explores the development of advanced strategies and tools for improving babyfoot performance.

Farkas' Lemma: Applications in Game Theory

Explores Farkas' Lemma, hyperplane separation, combinatorics, and its application in game theory, focusing on penalty kick strategies.

Potential Games: Best-Response Dynamics and Equilibria

Covers potential games, their properties, and the convergence of best-response dynamics to Nash equilibria.

Game Theory: Minimax Theorem

Explores zero-sum games and the minimax theorem in Game Theory, emphasizing optimal strategies.

Safe Learning for Autonomous Systems

Explores challenges in control, safety, and coordination for autonomous systems like autonomous cars, focusing on safe learning and Nash equilibria.

Real World Games: Negotiation Strategies

Delves into real-world games, negotiation strategies, and optimal agreements beyond Nash equilibrium.