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Learning Compact Neural Networks with Deep Overparameterised Multitask Learning
Compact neural network offers many benefits for real-world applications.
Deep Multitask Learning with Progressive Parameter Sharing
A scheduling mechanism following the concept of curriculum learning is also designed to progressively change the sharing strategy to increase the level of sharing during the learning process.
Optimising Stochastic Routing for Taxi Fleets with Model Enhanced Reinforcement Learning
The future of mobility-as-a-Service (Maas)should embrace an integrated system of ride-hailing, street-hailing and ride-sharing with optimised intelligent vehicle routing in response to a real-time, stochastic demand pattern.
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