Oct 22, 2020 · We design our reinforcement learning based routing algorithm using proximal policy optimisation and combined intrinsic and extrinsic rewards to ...

A model-based dispatch algorithm, a high performance model-free reinforcement learning based algorithm and a novel hybrid algorithm combining the benefits of ...

Oct 22, 2020 · A model-based dispatch algorithm, a high performance model-free reinforcement learning based algorithm and a novel hybrid algorithm combining ...

Oct 22, 2020 · This work designs a reinforcement learning based routing algorithm using proximal policy optimisation and combined intrinsic and extrinsic ...

We design our reinforcement learning based routing algorithm using proximal policy optimisation and combined intrinsic and extrinsic rewards to strike a balance ...

Optimising Stochastic Routing for Taxi Fleets with Model Enhanced Reinforcement Learning ... routing in response to a real-time, stochastic demand pattern.

Optimising Stochastic Routing for Taxi Fleets with Model Enhanced Reinforcement Learning ... The future of mobility-as-a-Service (Maas)should embrace an ...

We aim to optimise routing policies for a large fleet of vehicles for street-hailing services, given a stochastic demand pattern in small to medium-sized road ...

Oct 22, 2020 · We aim to optimise routing policies for a large fleet of vehicles for street-hailing services, given a stochastic demand pattern in small to ...

It is demonstrated that a reinforcement learning algorithm of the Q-learning family, based on a customized exploration and exploitation strategy, ...