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Simulating the economic impact of rationality through reinforcement learning and agent-based modelling
We find that RL agents spontaneously learn three distinct strategies for maximising profits, with the optimal strategy depending on the level of market competition and rationality.
Multi-agent Reinforcement Learning
Reinforcement Learning (RL)
Reinforcement Learning for Combining Search Methods in the Calibration of Economic ABMs
In this work, we benchmark a number of search methods in the calibration of a well-known macroeconomic ABM on real data, and further assess the performance of "mixed strategies" made by combining different methods.
