A shared-encoder multi-task RL framework lets one quadrotor policy learn stabilization, velocity tracking, and racing more sample-efficiently than single-task baselines.
Environ- ment as policy: Learning to race in unseen tracks,
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Multi-Task Reinforcement Learning for Quadrotors
A shared-encoder multi-task RL framework lets one quadrotor policy learn stabilization, velocity tracking, and racing more sample-efficiently than single-task baselines.