
Explore mean field games for distributed control in smart grids, covering energy arbitrage, thermostatically controlled loads, and transmission expansion planning. Gain insights into optimizing future power networks.

Explores flexible demand technology's role in modern electricity markets using game theory, focusing on decarbonization challenges, system benefits, and impacts on market dynamics and investment planning.

Explore innovative techniques for managing grid frequency using household appliances, focusing on flexible refrigeration and stochastic balancing in power systems.

Explore mean-field games from an optimization perspective, covering theory, applications in energy and environment, and connections to distributed optimization problems.

Explore economic evaluation methods, payer perspectives, and implications for genomic technology adoption in healthcare, focusing on cost-effectiveness analysis and coverage decisions for genetic testing.

Explore decision theory as a coherence test, examining assumptions, Bayesian justification, and geometric interpretation. Gain insights into max mean expected utility and practical applications.

Exploring uncertainty's impact on financial markets and economic policy design, focusing on long-term growth limitations and climate change implications through decision theory and uncertainty quantification methods.

Explore the debate between centralized and decentralized currency, examining the roles of cryptocurrencies and central banks in shaping economic systems and their impacts on transparency, stability, and public interests.

Explore dynamic mechanism design with limited commitment, focusing on direct Blackwell mechanisms and their applications in pricing, bargaining, and product personalization.

Explore how ethical hackers form a global freelance security team, supporting internal teams through bug bounty programs and keeping us safer online in the face of cybersecurity challenges.

Exploring the intersection of Game Theory and Machine Learning, focusing on equilibrium computation challenges and opportunities for advancing both fields.

Explore the mathematics behind the dice game "Pig" with Ben Sparks. Learn optimal strategies, analyze probabilities, and discover the balance between risk and reward in this engaging mathematical exploration.

Explore key economic concepts: budget constraints, opportunity costs, and diminishing marginal utility. Learn to analyze consumer choices and maximize utility within financial limitations.

Explore game theory in signal processing, covering multi-arm bandits, adaptive algorithms, and reinforcement learning for spectrum management and network optimization.

Explore algorithms for solving rank-1 bimatrix games efficiently, including polynomial-time methods for finding Nash equilibria and path-following techniques. Discusses complexity, uniqueness, and parameterized approaches.

Learn agent-based modeling with NetLogo to simulate complex systems, explore emergence, and understand when to use ABM for research in social sciences and economics.

Explore the origins of complex systems statistics through sample space reducing processes, Zipf's law, and network diffusion. Gain insights into driven non-equilibrium systems and their statistical properties.

Explore static mean-field games, Nash equilibria, and convergence theorems in large symmetric systems. Learn key concepts and proofs in this advanced applied probability lecture.

Explore innovative wellness programs that effectively address complex health challenges, considering social, economic, and psychological factors for comprehensive solutions.

Explore advanced concepts in game theoretic learning and spectrum management, focusing on signal processing applications and cutting-edge research developments.

Explore game theoretic learning and spectrum management principles with experts Amir Leshem and Kobi Cohen in this IEEE Signal Processing Society presentation.