Urban Driving with Multi-Objective Deep Reinforcement Learning.
Changjian LiKrzysztof CzarneckiPublished 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