Reinforcement learning based optimizer with extensible architecture. Using plug-ins it can be used for trading strategy, porfolio or hyperparameter optimization, using optimization methods like genetic algorithms or q-learning, and diverse agent types as heuristic strategies or using machine learning on observations to produce agent control actions
python machine-learning automation control reinforcement-learning ai deep-learning keras deep-reinforcement-learning q-learning genetic-algorithms portfolio-simulation neat-python agent-based-simulation gym-environment trading-strategy strategy-simulation finacial-modeling
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Updated
Feb 1, 2025 - Python