IC3Net VS smac

Compare IC3Net vs smac and see what are their differences.

IC3Net

Code for ICLR 2019 paper: Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks (by IC3Net)
Pytorch multiagent-systems Multiagent reinforcement-learning Communication
Source Code
arxiv.org
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smac

SMAC: The StarCraft Multi-Agent Challenge (by oxwhirl)
starcraft-ii reinforcement-learning multiagent-systems Benchmark Machine Learning
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IC3Net smac
2 2
202 1,002
0.0% 2.4%
0.0 3.8
7 months ago 3 months ago
Python Python
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

IC3Net

Posts with mentions or reviews of IC3Net. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-04-17.

smac

Posts with mentions or reviews of smac. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-08-09.

What are some alternatives?

When comparing IC3Net and smac you can also consider the following projects:

Mava - 🦁 A research-friendly codebase for fast experimentation of multi-agent reinforcement learning in JAX

pysc2 - StarCraft II Learning Environment

Emergent-Multiagent-Strategies - Emergence of complex strategies through multiagent competition

Ray - Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

malib - A parallel framework for population-based multi-agent reinforcement learning.

tensor2tensor - Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

F2HabitBreaker - Overlay to stop me clicking the All Army hotkey in SC2

wandb - 🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.

fashion-mnist - A MNIST-like fashion product database. Benchmark :point_down:

nablaDFT - nablaDFT: Large-Scale Conformational Energy and Hamiltonian Prediction benchmark and dataset

IC3Net vs Mava smac vs pysc2 IC3Net vs Emergent-Multiagent-Strategies smac vs Ray IC3Net vs malib smac vs tensor2tensor IC3Net vs Ray smac vs F2HabitBreaker IC3Net vs wandb smac vs fashion-mnist smac vs nablaDFT