Repository Index

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.

• reinforcement-learning
• unity3d
• deep-learning
• unity

Machine learning, in numpy

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

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

• rl
• ml
• ai
• google

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

Infrastructure for continually self‑improving agents

• agent-infrastructure
• ai-agents
• continual-learning
• inference

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

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

A toolkit for reproducible reinforcement learning research.

• rl-algorithms
• reproducibility
• pytorch
• tensorflow

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).

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

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

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

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

Computational framework for reinforcement learning in traffic control

• reinforcement-learning
• traffic-control
• benchmark
• autonomous

Gibson Environments: Real-World Perception for Embodied Agents

• computer-vision
• robotics
• simulator
• sim2real

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.

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

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

Trading Environment(OpenAI Gym) + PPO(TensorForce)

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

Deep Reinforcement Learning for Financial Trading using Price Trailing @ ICASSP 2019

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

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

Workbench for practical machine learning in Ruby.

• machine-learning
• machine-learning-algorithms
• neural-network
• neural-networks

Generative models for transcriptomic-driven or protein-driven molecular design (PaccMann^RL).

• deep-reinforcement-learning
• generative-model
• vae
• molecule-generation