This repository was originally forked from ShawK91/Evolutionary-Reinforcement-Learning. It aims to specific day-trading environment. Inherently, it applies evolutionary algorithm and DDQN to solve problem. The selected model has entered the stage of real trades and profited.
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Codebase for Evolutionary Reinforcement Learning (ERL) from the paper "Evolution-Guided Policy Gradients in Reinforcement Learning" published at NeurIPS 2018
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