Multi-Agent Reinforcement Learning (MARL) extends reinforcement learning to scenarios with multiple agents. This unit introduces the fundamental concepts, algorithms, and applications of MARL, enabling learners to understand how agents can cooperate and compete in dynamic environments. Üben mit sofortiger Rückmeldung, kostenlos und ohne Anmeldung.

Weitere Themen

• What is Reinforcement Learning?
• The Reinforcement Learning Cycle
• Types of Reinforcement Learning
• Value Functions
• Bellman Equations
• Value Iteration
• Policies
• Policy Evaluation