Implementing reinforcement learning for on-demand vehicle rebalancing in MATSim.

Tarek Chouaki Sebastian Hörl Jakob Puchinger

Published in: ANT/EDI40 (2022)

Keyphrases

reinforcement learning
function approximation
vehicle detection
pedestrian detection
search tree
reinforcement learning algorithms
vehicle speed
temporal difference learning
cloud computing
temporal difference

binary search trees
model free
real time
action selection
autonomous vehicles
transfer learning
state space
traffic monitoring
multi agent reinforcement learning

traffic accidents
robotic control
machine learning
markov decision processes
multi agent
learning algorithm
markov decision process
license plate
function approximators

traffic congestion
optimal policy
traffic management
outdoor environments
learning process
video sequences
computer vision
genetic algorithm
transport systems