sustainable-foraging is an open-source Python package that provides a customizable environment for multi-agent reinforcement learning research. It enables researchers to simulate and evaluate agent behaviors in sustainable foraging scenarios. Distributed under the Apache-2.0 license.
sustainable-foraging sits in PulseGate's Frameworks & SDKs category. It focuses on providing a research environment for developing and testing multi-agent reinforcement learning algorithms. It is built as an open-source project for ai researchers. sustainable-foraging is open source under the Apache-2.0 license. It runs on the web and the command line, and it can be self-hosted.
Behind sustainable-foraging is pixel-87, and the product first shipped in 2018. Development happens publicly on GitHub with 27 commits in the last 90 days. Key capabilities include multi-agent environment, reinforcement learning support, and simulation tools.
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