Multi-agent system

Related lectures (31)

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Covers the basics of static games and introduces key game theory concepts, including the Prisoner's Dilemma and Nash Equilibrium.

Covers multi-agent systems in traffic management and dynamic pricing strategies using game theory.

Explores decentralized economic systems, blockchain applications, and incentives for distributed agents.

Explores strategies for long-horizon robot exploration in continuous action spaces for multi-object search.

Explores safe learning, control, multi-agent coordination, and Nash equilibrium convergence in intelligent systems.

Explores learning and control for complex systems, addressing challenges and opportunities in technology and interdisciplinary research.

Covers intelligent agents, decision-making, planning, machine learning, and game theory.

Explores the challenges of 6N-DoF pose tracking for tensegrity robots and presents a robust method achieving high accuracy.

Covers zero-sum games, focusing on Nash equilibria, security strategies, and their applications in various scenarios.

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