Urban Driving with Multi-Objective Deep Reinforcement Learning.

Changjian Li Krzysztof Czarnecki

Published in: CoRR (2018)

Keyphrases

multi objective
reinforcement learning
evolutionary algorithm
optimization algorithm
multi objective optimization
multiobjective optimization
function approximation
multiple objectives
particle swarm optimization
genetic algorithm

evolutionary optimization
conflicting objectives
temporal difference
state space
pareto optimal
urban areas
objective function
nsga ii
multi objective optimization problems

machine learning
urban traffic
model free
urban planning
deep learning
traffic safety
public transport
learning algorithm
bi objective

multi agent
learning process
markov decision processes
multiagent evolutionary algorithm
urban growth
traffic congestion
driving behavior
action selection
optimal control