1.AI4Finance-Foundation / FinRL
FinRL®: Financial Reinforcement Learning. 🔥
- deep-reinforcement-learning
- drl-trading-agents
- stock-trading
- drl-algorithms
- pythorch
- tensorflow2
- +8 more
Ranked by Attention Score: stars gained over the last 90 complete days
51 repositories by Attention Score · Aug 6, 2026 – Nov 3, 2026 (UTC)
FinRL®: Financial Reinforcement Learning. 🔥
PettingZoo and Gymnasium bindings for popular reinforcement learning environments outside of Farama
An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.
An engine for high performance multi-agent environments with very large numbers of agents, along with a set of reference environments
A standard API for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.
An elegant PyTorch deep reinforcement learning library.
(⌐■_■) - Deep Reinforcement Learning instrumenting bettercap for WiFi pwning.
PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control
A standard API for multi-agent reinforcement learning environments, with popular reference environments and related utilities
Playing Pokemon Red with Reinforcement Learning
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
A toolkit for developing and comparing reinforcement learning algorithms.
Reinforcement Learning environments based on the 1993 game Doom :godmode:
A library of reinforcement learning components and agents
A collection of environments for autonomous driving and tactical decision-making tasks
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
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.
C++-based high-performance parallel environment execution engine (vectorized env) for general RL environments.
Clean PyTorch implementations of imitation and reward learning algorithms
Machine learning, in numpy
PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL
An experimentation and research platform to investigate the interaction of automated agents in an abstract simulated network environments.
Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.
Modular Reinforcement Learning (RL) library (implemented in PyTorch, JAX, and NVIDIA Warp) with support for Gymnasium/Gym, NVIDIA Isaac Lab, MuJoCo Playground and other environments
A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)
OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.
Game Agent Framework. Helping you create AIs / Bots that learn to play any game you own!
Deep Learning and Reinforcement Learning Library for Scientists and Engineers
An offline deep reinforcement learning library
A toolkit for reproducible reinforcement learning research.
TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.
OpenAI Gym environments for an open-source quadruped robot (SpotMicro)
Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning
Deep Reinforcement Learning for Keras.
PGPortfolio: Policy Gradient Portfolio, the source code of "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem"(https://arxiv.org/pdf/1706.10059.pdf).
Computational framework for reinforcement learning in traffic control
Gibson Environments: Real-World Perception for Embodied Agents
This project provides a stock market environment using OpenGym with Deep Q-learning and Policy Gradient.
DEPRECATED: Open-source software for robot simulation, integrated with OpenAI Gym.
Scalable, event-driven, deep-learning-friendly backtesting library
Project Malmo is a platform for Artificial Intelligence experimentation and research built on top of Minecraft. We aim to inspire a new generation of research into challenging new problems presented by this unique environment. --- For installation instructions, scroll down to *Getting Started* below, or visit the project page for more information:
Trax — Deep Learning with Clear Code and Speed
📈 Personae is a repo of implements and environment of Deep Reinforcement Learning & Supervised Learning for Quantitative Trading.