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cs.RO2025
Equivariant Reinforcement Learning Frameworks for Quadrotor Low-Level Control
Beomyeol Yu, Taeyoung Lee
Improving sampling efficiency and generalization capability is critical for the successful data-driven control of quadrotor unmanned aerial vehicles (UAVs) that are inherently unst…
cs.RO2023
Multi-Agent Reinforcement Learning for the Low-Level Control of a Quadrotor UAV
Beomyeol Yu, Taeyoung Lee
By leveraging the underlying structures of the quadrotor dynamics, we propose multi-agent reinforcement learning frameworks to innovate the low-level control of a quadrotor, where…