ABIDES-Economist: Agent-Based Simulation of Economic Systems with Learning Agents
By Kshama Dwarakanath, Svitlana Vyetrenko, Peyman Tavallali, Tucker Balch
Rating
1437
Battle Count: 38
Relevance
6/10
While not directly applicable to trading, the model provides insights into economic agent behavior and system dynamics that could inform trading strategies
Implementation Complexity
7/10
Requires understanding of reinforcement learning and economic modeling, but code is available and well-documented
Reproducibility
4/5
Code available on GitHub, detailed model parameters provided
About this paper
Methodology: Agent-based simulation with reinforcement learning. Problem types: Reinforcement Learning, Multi-agent Learning, Economic Simulation.
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