Urban Driving with Multi-Objective Deep Reinforcement Learning.
Changjian LiKrzysztof CzarneckiPublished in: AAMAS (2019)
Keyphrases
- multi objective
- reinforcement learning
- multi objective optimization
- evolutionary algorithm
- optimization algorithm
- genetic algorithm
- particle swarm optimization
- function approximation
- traffic safety
- multiobjective optimization
- nsga ii
- objective function
- multiple objectives
- conflicting objectives
- multi objective optimization problems
- evolutionary optimization
- pareto optimal
- bi objective
- temporal difference
- state space
- urban planning
- urban areas
- model free
- public transport
- learning algorithm
- learning process
- reinforcement learning algorithms
- action selection
- function approximators
- markov decision processes
- transfer learning
- multi agent
- multiobjective evolutionary algorithm
- autonomous driving
- multi objective evolutionary
- differential evolution
- decision making
- urban land