Reproducing OpenAi's Hide-and-seek project

This page summarizes the projects mentioned and recommended in the original post on /r/reinforcementlearning

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  • multi-agent-cooperation-learning

    This is a project based on OpenAI's multi-agent-emergence-environments (Emergent Tool Use from Multi-Agent Autocurricula, Baker et al.), and uses its framework to build a new environment (MACL) where developers can deploy their own experiments in order to study good ways to foster cooperation intelligence in machines. This work was done during a Semester Project at ETH Zürich and I hope it can serve as additional material to support engineers and researchers in using OpenAI's original code to de

  • Was anyone able to reproduce the hide-and-seek project? https://github.com/leonardovvla/multi-agent-cooperation-learning came close but he has some files (test_policy_ppo) missing. Would greatly appreciate any help.

  • multi-agent-emergence-environments

    Environment generation code for the paper "Emergent Tool Use From Multi-Agent Autocurricula"

  • The original codebase from OpenAI is here if that is of any assistance.

  • Scout Monitoring

    Free Django app performance insights with Scout Monitoring. Get Scout setup in minutes, and let us sweat the small stuff. A couple lines in settings.py is all you need to start monitoring your apps. Sign up for our free tier today.

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