Showing 4 of 4 projects
A modular, high-throughput PyTorch framework for deep reinforcement learning research, supporting policy gradient, deep Q-learning, and Q-function policy gradient algorithms.
An OpenAI Gym environment for stock market trading simulation with Deep Q-learning and Policy Gradient implementations.
An open-source implementation reproducing DeepMind's Atari-playing deep reinforcement learning system from their seminal 2013 paper.
A Deep Q-learning reinforcement learning agent for automated stock trading using historical market data.
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