Skip to main content
Graph
Search
fr
en
Login
Search
All
Categories
Concepts
Courses
Lectures
MOOCs
People
Quizes
Exercises
Publications
Startups
Units
Show all results for
Home
Lecture
Markov Games: Concepts and Applications in Reinforcement Learning
Graph Chatbot
Related lectures (54)
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.
Markov Decision Processes: Foundations of Reinforcement Learning
Covers Markov Decision Processes, their structure, and their role in reinforcement learning.
Descent methods and line search: Finiteness of the line search algorithm
MOOC: Optimization: principles and algorithms - Unconstrained nonlinear optimization
Explores the Wolfe conditions for line search algorithms and proves the finiteness of the line search parameter.
Markov Decision Processes: Dynamic Programming Techniques
Discusses Markov Decision Processes and dynamic programming techniques for solving optimal policies in various scenarios.
Value Iteration Acceleration: PID and Operator Splitting
Explores accelerating the Value Iteration algorithm using control theory and matrix splitting techniques to achieve faster convergence.
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.
Nonlinear Equations: Fixed Point Method Convergence
Covers the convergence of fixed point methods for nonlinear equations, including global and local convergence theorems and the order of convergence.
Introduction to Game Theory
Log in to Mediaspace to watch this video
Covers game theory fundamentals, Nash equilibrium, and strategic interactions in multi-agent systems.
Potential Games: Best-Response Dynamics and Equilibria
Log in to Mediaspace to watch this video
Covers potential games, their properties, and the convergence of best-response dynamics to Nash equilibria.
Static Games: Introduction to Game Theory Concepts
Log in to Mediaspace to watch this video
Covers the basics of static games and introduces key game theory concepts, including the Prisoner's Dilemma and Nash Equilibrium.
Game Theory: Stackelberg and Backward Induction
Log in to Mediaspace to watch this video
Discusses Stackelberg games and backward induction, illustrating game theory concepts through examples and applications in real-world scenarios.
Zero-Sum Games: Concepts and Applications
Log in to Mediaspace to watch this video
Covers zero-sum games, focusing on Nash equilibria, security strategies, and their applications in various scenarios.
Multistage Games: Extensive Form and Feedback Strategies
Log in to Mediaspace to watch this video
Explores multistage games, focusing on extensive form and feedback strategies, including Nash equilibria and backward induction methods.
Real World Games: Negotiation Strategies
Log in to Mediaspace to watch this video
Delves into real-world games, negotiation strategies, and optimal agreements beyond Nash equilibrium.
Introduction to Reinforcement Learning: Key Concepts and Applications
Log in to Mediaspace to watch this video
Introduces reinforcement learning, covering its definitions, applications, and theoretical foundations, while outlining the course structure and objectives.
Multi-Agent Systems: Traffic Management and Pricing Strategies
Log in to Mediaspace to watch this video
Covers multi-agent systems in traffic management and dynamic pricing strategies using game theory.
Dynamic Games: Theory and Applications
Log in to Mediaspace to watch this video
Covers dynamic games, focusing on their structure, applications, and the transition from tree to loop models.
Infinite-Horizon Problems: Formulation & Complexity
Log in to Mediaspace to watch this video
Covers infinite-horizon problems in Applied Probability and Stochastic Processes.
Game Theory: Learning in Finite Action Games
Log in to Mediaspace to watch this video
Covers learning dynamics in finite action games and explores various types of equilibria, including correlated and coarse correlated equilibria.
Dynamic Games: Backward Induction and Nash Equilibria
Log in to Mediaspace to watch this video
Covers dynamic games, focusing on backward induction and finding Nash equilibria in two-player scenarios.
Previous
Page 1 of 3
Next
