FinRL®: Financial Reinforcement Learning. 🔥
- deep-reinforcement-learning
- drl-trading-agents
- stock-trading
- drl-algorithms
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FinRL®: Financial Reinforcement Learning. 🔥
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.
TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.
A toolkit for reproducible reinforcement learning research.
Clean PyTorch implementations of imitation and reward learning algorithms
OpenAI Gym environments for an open-source quadruped robot (SpotMicro)
A toolbox of AI modules written in Swift: Graphs/Trees, Support Vector Machines, Neural Networks, PCA, K-Means, Genetic Algorithms
A light-weight deep reinforcement learning framework for portfolio management. This project explores the possibility of applying deep reinforcement learning algorithms to stock trading in a highly modular and scalable framework.
Trading environnement for RL agents, backtesting and training.