Yilang Liu

Multi-task RL agents solving related navigation tasks underwater rely on a surprisingly small fraction of their weights (1.5%) to differentiate between tasks.

Contextual multi-task reinforcement learning enables autonomous underwater vehicles to nimbly adapt to diverse reef monitoring tasks and turbulent underwater conditions, paving the way for more sustainable marine ecosystem observation.