Scalable Deep Reinforcement Learning for Ride-Hailing.

Jiekun Feng Mark O. Gluzman Jim G. Dai

Published in: CoRR (2020)

Keyphrases

reinforcement learning
highly scalable
function approximation
reinforcement learning algorithms
learning algorithm

state space
markov decision processes
learning process
model free
multi agent

supervised learning
real time
hidden markov models
artificial neural networks
partially observable

information systems
markov decision process
deep learning
multi agent reinforcement learning
scale poorly