IC3Net VS Emergent-Multiagent-Strategies

Compare IC3Net vs Emergent-Multiagent-Strategies 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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Emergent-Multiagent-Strategies

Emergence of complex strategies through multiagent competition (by Ankur-Deka)
multiagent-reinforcement-learning multiagent-systems Robotics competitive marl
Source Code
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IC3Net Emergent-Multiagent-Strategies
2 1
202 38
0.0% -
0.0 0.0
7 months ago over 1 year 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.

Emergent-Multiagent-Strategies

Posts with mentions or reviews of Emergent-Multiagent-Strategies. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing IC3Net and Emergent-Multiagent-Strategies you can also consider the following projects:

smac - SMAC: The StarCraft Multi-Agent Challenge

Competitive-Programming

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

DI-engine - OpenDILab Decision AI Engine

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

pumpkin - The MAS Demonic Surveillance Platform. 🎃 [Moved to: https://github.com/scandale-project/pumpkin]

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.

pymarl2 - Fine-tuned MARL algorithms on SMAC (100% win rates on most scenarios)

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

IC3Net vs smac Emergent-Multiagent-Strategies vs Competitive-Programming IC3Net vs Mava Emergent-Multiagent-Strategies vs DI-engine IC3Net vs malib Emergent-Multiagent-Strategies vs pumpkin IC3Net vs Ray Emergent-Multiagent-Strategies vs pymarl2 IC3Net vs wandb Emergent-Multiagent-Strategies vs Mava