Showing 5 of 5 projects
An elegant PyTorch-based deep reinforcement learning library with modular APIs for both research and application development.
A modular, high-throughput PyTorch framework for deep reinforcement learning research, supporting policy gradient, deep Q-learning, and Q-function policy gradient algorithms.
A deep reinforcement learning framework for financial portfolio management with policy gradient optimization and backtesting tools.
A modular deep reinforcement learning framework in PyTorch for research and application, featuring ready-to-use algorithms and reproducible experiments.
An OpenAI Gym environment for stock market trading simulation with Deep Q-learning and Policy Gradient implementations.
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