1. ABMs with RL agents are used for modeling market dynamics, consumer behavior, and studying the impact of policy changes on economic systems;Economics In economics
2. ABMs help in understanding social networks and the spread of information or diseases;Social Sciences In social sciences
3. ABMs with RL agents are crucial for developing adaptive strategies for autonomous vehicles or robotic swarms. ABMs using RL agents represent a powerful tool for simulating and understanding complex, adaptive systems across various fields. The integration of RL into ABMs adds a layer of learning and adaptability, making these models even more dynamic and realistic. References [Bouchaud, 2008] Bouchaud;Robotics and Autonomous Systems In the field of robotics and autonomous systems,2008
4. The (unfortunate) complexity of the economy;J.-P Bouchaud ; Bouchaud;Black-box bayesian inference for economic agent-based models,2009