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  • title: Dynamic Collaborative Multi-Agent Reinforcement Learning Communication for Autonomous Drone Reforestation
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            Dynamic Collaborative Multi-Agent Reinforcement Learning Communication for Autonomous Drone Reforestation
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            Dynamic Collaborative Multi-Agent Reinforcement Learning Communication for Autonomous Drone Reforestation

            Dec 2, 2022

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            PDS

            Philipp D. Siedler

            Řečník · 0 sledujících

            About

            We approach autonomous drone-based reforestation with a collaborative multi-agent reinforcement learning (MARL) setup. Agents can communicate as part of a dynamically changing network. We explore collaboration and communication on the back of a high-impact problem. Forests are the main resource to control rising CO2 conditions. Unfortunately, the global forest volume is decreasing at an unprecedented rate. Many areas are too large and hard to traverse to plant new trees. To efficiently cover as…

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            NeurIPS 2022

            Účet · 961 sledujících

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