Python 3 library to write CZML

GATES: Cost-aware Dynamic Workflow Scheduling via Graph Attention Networks and Evolution Strategy (IJCAI 2025)

This is the official code of the publised paper 'A Multi-action Deep Reinforcement Learning Framework for Flexible Job-shop Scheduling Problem'

Apache ECharts is a powerful, interactive charting and data visualization library for browser

Web-based SQLite database browser written in Python

hapsira - 🚀 Astrodynamics in Python - a poliastro fork

Read and write CZML in Python

COR paper: A Deep Multi-Agent Reinforcement Learning Approach to Solve Dynamic Job Shop Scheduling Problem

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

Concise pytorch implements of MARL algorithms, including MAPPO, MADDPG, MATD3, QMIX and VDN.

Lightweight version of MAPPO to help you quickly migrate to your local environment.

This is the official implementation of Multi-Agent PPO (MAPPO).

Unified Reinforcement Learning Framework

A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.

For deep RL and the future of AI.

Multi-Agent Reinforcement Learning with JAX

An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities

Official code repo for the MARL book (www.marl-book.com)

Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

One repository is all that is necessary for Multi-agent Reinforcement Learning (MARL)

Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario of StarCraft II

Paper list of multi-agent reinforcement learning (MARL)

Non-cooperative satellite operations challenge problems implemented in the Kerbal Space Program game engine

Astrodynamics simulation framework

RL environments and tools for spacecraft autonomy research, built on Basilisk. Developed by the AVS Lab.

Satellite Mission Analysis and Design based on Orekit

An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)

Model to simulate the dynamics of the Satellites motion during orbit undergoing passive magnetic control.

Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).