on-policy
★ 2.0k
vs
maro
★ 919
on-policy vs maro
on-policy: This repository implements MAPPO, a multi-agent variant of PPO, widely used in cooperative multi-agent games and research. It provides robust implementations for various multi-agent environments like StarCraft II, Hanabi, and Google Research Football, along with detailed training scripts and hyperparameter guidance.; maro: MARO is a Reinforcement Learning as a Service (RaaS) platform designed for real-world resource optimization across various industrial domains. It offers simulation, RL, and distributed toolkits to facilitate the development and deployment of complex optimization solutions.
01
TL;DR
Choose on-policy if…Research and experimentation in cooperative multi-agent reinforcement learning
Choose maro if…Container Inventory Management in logistics
02
Side-by-Side Comparison
03
Features
on-policy01Implementation of MAPPO (Multi-Agent PPO)
02Support for diverse multi-agent environments (e.g., StarCraft II, Hanabi)
03Ready-to-use training scripts for various scenarios
04Detailed hyperparameter guidance and updated results
05Default support for shared policy among agents
maro01Comprehensive Simulation Toolkit
02Full-stack Reinforcement Learning Toolkit
03Distributed Communication and Orchestration Toolkit
04Predefined Industrial Scenarios (e.g., CIM, Citi Bike, VM Scheduling)
05Interactive Environment Visualization Dashboard
04
Use Cases
on-policy↳Research and experimentation in cooperative multi-agent reinforcement learning
↳Benchmarking and evaluating PPO's effectiveness in MARL scenarios
↳Training AI agents for popular multi-agent games like StarCraft II and Hanabi
maro↳Container Inventory Management in logistics
↳Bike Repositioning in transportation
↳Virtual Machine Provisioning in data centers
05
Best For
on-policyTrendingReinforcement LearningMulti-Agent AI
maroTrending
FAQ
FAQ
What is the difference between on-policy and maro?
Both on-policy and maro are in the LLM Infra category. on-policy has 2.0k stars, while maro has 919 stars.
Which is better, on-policy or maro?
The best choice depends on your use case. Choose on-policy if Research and experimentation in cooperative multi-agent reinforcement learning, and maro if Container Inventory Management in logistics.
Is on-policy free or open source?
Yes, on-policy is open source on GitHub (MIT).
Is maro free or open source?
Yes, maro is open source on GitHub (MIT).
→