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Status: Archive (code is provided as-is, no updates expected) Multiagent emergence environments Environment generation code for Emergent Tool Use From Multi-Agent Autocurricula (blog) Installation This repository depends on the mujoco-worldgen package. You will need to clone the mujoco-worldgen repository and install it and its dependencies: This repository has been tested only on Mac OS X and Ubuntu 16.04 with Python 3.6 Use Environment construction works in the following way: You start from the environment (defined in ) and then you add environment modules (e.g. , , , etc.) and then wrappers on top. You can see examples in the folder. If you want to construct a new environment, we highly recommend using the above paradigm in order to minimize code duplication. If you need new objects or game dynamics that don't already exist in this codebase, add them in via a new class or a class rather than subclassing (or mujoco-worldgen's class). In general, should be used for adding objects or sites to the environment, or otherwise modifying the mujoco simulator; wrappers should be
| Stars | 1,815 |
| Forks | 327 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 64.5075395191432/100 |
| Open Issues | 27 |
| Last Updated | 2024-07-30 |
| Created | 2019-08-12 |
| Platforms | python |
| Est. Tokens | ~4639k |
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multi-agent-emergence-environments is Environment generation code for the paper "Emergent Tool Use From Multi-Agent Autocurricula". It is categorized as a Agent Tool with 1.8k GitHub stars.
multi-agent-emergence-environments is primarily written in Python.
You can find installation instructions and usage details in the multi-agent-emergence-environments GitHub repository at github.com/openai/multi-agent-emergence-environments. The project has 1.8k stars and 327 forks, indicating an active community.
multi-agent-emergence-environments is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to multi-agent-emergence-environments on Agent Skills Hub include agent-skills, excalidraw-diagram-skill, raptor. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.