Code & Development · GitHub ·25 ★

PredPreyGrass

Exploring learned cooperation, coevolution and free-riding. Learning is achieved through Multi-Agent Deep Reinforcement Learning (MADRL) in an ecological environment. The environment emits no other than sparse reproduction rewards. No reward shaping, no explicit cooperation signal.

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Details

Author
doesburg11
Category
Code & Development
Platform
GitHub
Framework
custom
Language
python
Stars
25
First indexed
2026-05-15
Last active
2026-03-19
Directory sync
2026-05-15
@doesburg11

Overview

Exploring learned cooperation, coevolution and free-riding. Learning is achieved through Multi-Agent Deep Reinforcement Learning (MADRL) in an ecological environment. The environment emits no other than sparse reproduction rewards. No reward shaping, no explicit cooperation signal.

Quick start

git

git clone https://github.com/doesburg11/PredPreyGrass

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What PredPreyGrass can do

socialapihr
  • Social — social task automation.
  • Api — api task automation.
  • Hr — Handles people operations such as hiring and policy Q&A.

Frequently asked questions

What is PredPreyGrass?
Exploring learned cooperation, coevolution and free-riding. Learning is achieved through Multi-Agent Deep Reinforcement Learning (MADRL) in an ecological environment. The environment emits no other than sparse reproduction rewards. No reward shaping, no explicit cooperation signal.
How do I install PredPreyGrass?
Use git: `git clone https://github.com/doesburg11/PredPreyGrass`. Full setup details on the source page linked above.
Is PredPreyGrass open source?
PredPreyGrass is published on GitHub.
What are alternatives to PredPreyGrass?
Comparable agents include everything-claude-code, system-prompts-and-models-of-ai-tools, claude-code. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for PredPreyGrass is sourced from GitHub, published by doesburg11.

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