1.Human-Agent-Society / reef
Infrastructure for continually self‑improving agents
Ranked by Attention Score: stars gained over the last 30 complete days
47 repositories by Attention Score · Oct 5, 2026 – Nov 3, 2026 (UTC)
Infrastructure for continually self‑improving agents
FinRL®: Financial Reinforcement Learning. 🔥
The official code of Agent-World: Scaling Real-World Environment Synthesis for Evolving General Agent Intelligence
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)
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.
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.
PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control
An elegant PyTorch deep reinforcement learning library.
(⌐■_■) - Deep Reinforcement Learning instrumenting bettercap for WiFi pwning.
A standard API for multi-agent reinforcement learning environments, with popular reference environments and related utilities
A collection of environments for autonomous driving and tactical decision-making tasks
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
Playing Pokemon Red with Reinforcement Learning
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL
A library of reinforcement learning components and agents
Reinforcement Learning environments based on the 1993 game Doom :godmode:
An experimentation and research platform to investigate the interaction of automated agents in an abstract simulated network environments.
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.
Machine learning, in numpy
A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)
Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.
Clean PyTorch implementations of imitation and reward learning algorithms
C++-based high-performance parallel environment execution engine (vectorized env) for general RL environments.
A toolkit for developing and comparing reinforcement learning algorithms.
Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning
OpenAI Gym environments for an open-source quadruped robot (SpotMicro)
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
Deep Learning and Reinforcement Learning Library for Scientists and Engineers
Game Agent Framework. Helping you create AIs / Bots that learn to play any game you own!
An offline deep reinforcement learning library
This project provides a stock market environment using OpenGym with Deep Q-learning and Policy Gradient.
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.
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
Scalable, event-driven, deep-learning-friendly backtesting library
Deep Reinforcement Learning for Keras.
DEPRECATED: Open-source software for robot simulation, integrated with OpenAI Gym.
Gibson Environments: Real-World Perception for Embodied Agents