This repository contains a simple trading environment built using the OpenAI Gym framework and a Deep Q-Network (DQN) agent implemented with TensorFlow/Keras. The environment simulates trading a single asset with three possible actions: hold, buy, or sell.
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This repository contains a simple trading environment built using the OpenAI Gym framework and a Deep Q-Network (DQN) agent implemented with TensorFlow/Keras. The environment simulates trading a single asset with three possible actions: hold, buy, or sell.
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mano001-ctrl/Deep-Reinforcement-Learning-for-Trading
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This repository contains a simple trading environment built using the OpenAI Gym framework and a Deep Q-Network (DQN) agent implemented with TensorFlow/Keras. The environment simulates trading a single asset with three possible actions: hold, buy, or sell.
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