Lecture
Real World Games: Negotiation Strategies
Related lectures (34)
Robustness and Diffusion Models
Explores robustness in GAN training, Gaussian algorithms, saddle points, and mixed Nash equilibrium.
Bayesian Inference: Error Minimization
Discusses error minimization in Bayesian inference and the importance of prior knowledge in the inference process.
Distributed Multiagent Systems: Coordination and Learning
Explores coordination and learning in distributed multiagent systems, covering social laws, task exchange, constraint satisfaction, and coordination algorithms.
LP Duality: An Economics Perspective
Explores LP duality in zero-sum games from an economics perspective, emphasizing optimal strategies and decision-making.
Farkas' Lemma: Applications in Game Theory
Explores Farkas' Lemma, hyperplane separation, combinatorics, and its application in game theory, focusing on penalty kick strategies.
Virtual Work II: Examples of Potentials
Covers examples of potentials in virtual work for structural mechanics.
Risk, Variation, and UncertaintyMOOC: A Resilient Future: Science and Technology for Disaster Risk Reduction
Explores risk, variation, and uncertainty in disaster risk reduction through probability models and loss functions.
Multistage Games: Extensive Form and Feedback Strategies
Explores multistage games, focusing on extensive form and feedback strategies, including Nash equilibria and backward induction methods.
Risk Management: Introduction and Major Accidents
Covers the basics of risk management, major accidents, and the uncertainties of the future in decision-making processes.
Deliberative Agents: Planning and Strategies
Covers planning with adversaries, heuristic search algorithms, and strategies for games with chance, emphasizing the significance of deliberative agents.