Skip to main content
Graph
Search
fr
|
en
Login
Search
All
Categories
Concepts
Courses
Lectures
MOOCs
People
Practice
Publications
Startups
Units
Show all results for
Home
Lecture
Dynamic Games: Theory and Applications
Graph Chatbot
Related lectures (32)
Previous
Page 2 of 4
Next
Real World Games: Negotiation Strategies
Delves into real-world games, negotiation strategies, and optimal agreements beyond Nash equilibrium.
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.
Potential Games: Best Response Dynamics and Nash Equilibria
Covers potential games, best response dynamics, and the convergence to Nash equilibria.
Random Field Ising Model: Overview and Analysis
Provides an in-depth analysis of the Random Field Ising Model, covering model description, free entropy, and mean field algorithm.
Coalitions and Group Decisions
Explores Cooperative Game Theory, focusing on group decisions, voting protocols, manipulation, and the challenges of games with more than two players.
Linear Quadratic (LQ) Optimal Control: Proof of Theorem
Covers the proof of the recursive formula for the optimal gains in LQ control over a finite horizon.
Bidding Strategies: Game Theory & Market Power
Covers bidding strategies, Game Theory, Nash equilibrium, system security, ancillary services, and market power in power systems.
Controlled Stochastic Processes
Explores controlled stochastic processes, focusing on analysis, behavior, and optimization, using dynamic programming to solve real-world problems.
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.
Operational Transconductance Amplifiers: Evolution and Frequency Analysis
Explores the evolution and frequency analysis of Operational Transconductance Amplifiers, including stability considerations and the impact of feedback.