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Agent-based models (ABMs) are simulation models used in economics to overcome some of the limitations of traditional frameworks based on general equilibrium assumptions.
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Reinforcement Learning for Combining Search Methods in the Calibration of Economic ABMs. In Proceedings of the Fourth ACM International Conference on AI in Finance . 305–313
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Beliefs, Shocks, and the Emergence of Roles in Asset Markets: An Agent-Based Modeling Approach. In Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems . 40–48
Evan Albers, Mohammad T Irfan, and Matthew J Botsch. 2024 · 2024
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Deepeka Garg, Benjamin Patrick Evans, Leo Ardon, Annapoorani Lakshmi Narayanan, Jared Vann, Udari Madhushani, Makada Henry-Nickie, and Sumitra Ganesh. 2024 · 2024
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Towards multi-agent reinforcement learning-driven over-the-counter market simulations
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