Multi-Agent Systems: Traffic Management and Pricing Strategies

Related lectures (32)

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

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

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

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

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

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

Explores imperfect competition, cartels, and oligopoly dynamics in markets, analyzing pricing strategies and market outcomes.

Explores the economic impact of innovations, focusing on valuation, consumer surplus, and welfare effects.

Explores energy systems modeling, optimization, and cost analysis for efficient operations.

Covers energy contracts, market mechanisms, locational marginal pricing, and congestion management in power systems.