Mitigating housing market shocks: an agent-based reinforcement learning approach with implications for real-time decision support
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Research in modelling housing market dynamics using agent-based models (ABMs) has grown due to the rise of accessible individual-level data. This research involves forecasting house prices, analysing urban regeneration, and the impact of economic shocks. There... ...
