purvasingh96/gym-fraud
💳 Creates a new gym environment for credit-card anomaly detection using Deep Q-Networks (DQN) and leverages Open AI's Gym toolkit to allocate appropriate awards to the RL agent.
This project helps machine learning engineers or researchers working on financial security. It provides a specialized training environment for developing and testing AI models that identify fraudulent credit card transactions. You provide a dataset of credit card transactions, and the system outputs an AI model capable of classifying transactions as fraudulent or legitimate.
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Use this if you are a machine learning engineer researching or developing advanced fraud detection systems using deep reinforcement learning.
Not ideal if you are looking for a plug-and-play solution for immediate fraud detection in a production environment, as this is a research and development tool.
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Nov 01, 2020
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