HIVEX

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Multi-Agent Research

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HIVEX

Multi-Agent Reinforcement Learning environment suite with a focus on critical ecological challenges.

About

The motivation of the hivex suite is to provide advanced reinforcement learning benchmarking environments with an emphasis on: (1) real-world scenarios, (2) multi-agent systems, (3) investigating problems and solutions with high impact on society.

Train & Test Scripts: https://github.com/hivex-research/hivex

Available Environments: https://github.com/hivex-research/hivex-environments

Wind Farm Control Wildfire Resource Management Drone-Based Reforestation Ocean Plastic Collection Aerial Wildfire Suppression
Wind Farm Control Wildfire Resource Management Drone-Based Reforestation Ocean Plastic Collection Aerial WildFire Suppression
WFC WRM DBR OPC AWS
Task Count / Patterns Task Count / Difficulty Levels Task Count / Difficulty Levels Task Count / Difficulty Levels Task Count / Difficulty Levels
2 / 9 3 / 10 7 / 10 4 / - 9 / 10