An introduction to reinforcement learning (RL) and multi-agent reinforcement learning (MARL) with applications in economics. The course covers foundational RL concepts (L1), modern deep RL approaches (L2), game-theoretic foundations of multi-agent systems (L3) and basic MARL and deep MARL algorithms (L4), with interactive demonstrations and hands-on coding exercises.
Course by Aldo Glielmo.