FinRL®: Financial Reinforcement Learning. 🔥
- deep-reinforcement-learning
- drl-trading-agents
- stock-trading
- drl-algorithms
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FinRL®: Financial Reinforcement Learning. 🔥
Machine learning, in numpy
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
A standard API for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
(⌐■_■) - Deep Reinforcement Learning instrumenting bettercap for WiFi pwning.
Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.
Infrastructure for continually self‑improving agents
Deep Learning and Reinforcement Learning Library for Scientists and Engineers
An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.
A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)
OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.
A standard API for multi-agent reinforcement learning environments, with popular reference environments and related utilities
Tensorforce: a TensorFlow library for applied reinforcement learning
Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning
Reinforcement Learning in PyTorch
PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control
Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.
An experimentation and research platform to investigate the interaction of automated agents in an abstract simulated network environments.
📈 Personae is a repo of implements and environment of Deep Reinforcement Learning & Supervised Learning for Quantitative Trading.
Scalable, event-driven, deep-learning-friendly backtesting library
Gibson Environments: Real-World Perception for Embodied Agents
PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL
This project provides a stock market environment using OpenGym with Deep Q-learning and Policy Gradient.