Repository Index

Machine learning, in numpy

• machine-learning
• neural-networks
• topic-modeling
• gaussian-mixture-models

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

• reinforcement-learning
• reinforcement-learning-algorithms
• machine-learning
• gym

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

• wandb
• reinforcement-learning
• pytorch
• python

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-plus-plus
• machine-learning
• online-learning
• contextual-bandits

Playing Pokemon Red with Reinforcement Learning

A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)

OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.

• reinforcement-learning
• multiagent-reinforcement-learning
• self-play
• imitation-learning

TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.

• reinforcement-learning
• tensorflow
• contextual-bandits
• bandits

Reinforcement Learning environments based on the 1993 game Doom :godmode:

• deep-learning
• reinforcement-learning
• python
• vizdoom

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).

An experimentation and research platform to investigate the interaction of automated agents in an abstract simulated network environments.

C++-based high-performance parallel environment execution engine (vectorized env) for general RL environments.

• reinforcement-learning
• parallel-processing
• cpp17
• pybind11

An Open Flexible Quadrotor Simulator

OpenAI Gym environments for an open-source quadruped robot (SpotMicro)

• openai-gym
• openai-gym-environments
• robotics
• tensorflow

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

• reinforcement-learning
• python
• deep-learning
• gym

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.

Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...

• reinforcement-learning
• deep-learning
• pytorch
• pytorch-reinforcement-learning

Reproduction of SuperMimic (arXiv:2610.28480): learned differentiable world model + BPTT policy for G1 humanoid motion tracking, on mjlab/MuJoCo Warp

Every day, millions of traders around the world are trying to make money by trading stocks. These days, physical traders are also being replaced by automated trading robots. Algorithmic trading market has experienced significant growth rate and large number of firms are using it. I have tried to build a Deep Q-learning reinforcement agent model to do automated stock trading.

Trading Environment(OpenAI Gym) + PPO(TensorForce)

• ppo
• proximal-policy-optimization
• tensorforce
• trading

Official code for "Reinforcement Fine-Tuning of Flow-Matching Policies for Vision-Language-Action Models" (ICRA 2026): Flow Policy Optimization for pi0

• aloha
• flow-matching
• icra2026
• jax

A set of neuroevolution experiments with/towards deep networks

• rubyml