Repository Index

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

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

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.

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

Tensorforce: a TensorFlow library for applied reinforcement learning

• reinforcement-learning
• tensorflow
• deep-reinforcement-learning
• tensorflow-library

Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning

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

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

Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.

• trading
• python
• reinforcement-learning
• trading-bot

Clean PyTorch implementations of imitation and reward learning algorithms

• reward-learning
• inverse-reinforcement-learning
• imitation-learning
• gymnasium

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.

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

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 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.

Reproducing the results of "Playing Atari with Deep Reinforcement Learning" by DeepMind

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

A simple and highly efficient RTS-game-inspired environment for reinforcement learning

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.

Maze Applied Reinforcement Learning Framework

• reinforcement-learning
• python
• machine-learning
• simulation

TavernGym and TavernBench: a faithful, full-content Hearthstone Battlegrounds simulator with an RL interface, and a 960-task decision benchmark. Code and data for "Build, Don't Play".

• game-ai
• hearthstone
• reinforcement-learning
• rust

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

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