Repository Index

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

An elegant PyTorch deep reinforcement learning library.

• pytorch
• policy-gradient
• dqn
• double-dqn

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

Deep Learning and Reinforcement Learning Library for Scientists and Engineers

• tensorlayer
• deep-learning
• tensorflow
• neural-network

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

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

Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning

PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control

• pybullet
• crazyflie
• robotics
• reinforcement-learning

The original code from the DeepMind article + my tweaks

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

📈 Personae is a repo of implements and environment of Deep Reinforcement Learning & Supervised Learning for Quantitative Trading.

• reinforcement-learning
• supervised-learning
• stock-data
• trading

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

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

Scalable, event-driven, deep-learning-friendly backtesting library

• reinforcement-learning
• deep-reinforcement-learning
• gym-environment
• openai-gym

PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL

• gym
• pybullet
• reinforcement-learning
• control

This project provides a stock market environment using OpenGym with Deep Q-learning and Policy Gradient.

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

Trading Environment(OpenAI Gym) + DDQN (Keras-RL)

• keras-rl
• deep-reinforcement-learning
• trading
• keras

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.

A micro neural network multilayer perceptron for MicroPython (used on ESP32 and Pycom modules)

• micropython
• neural-network
• multilayer-perceptron
• mlp

Trading environnement for RL agents, backtesting and training.

• trading
• backtesting
• reinforcement-learning-agent
• reinforcement-learning

Python application to setup and run streaming (contextual) bandit experiments.

• streaming
• bandit
• mab
• cmab