Multi-Agent Deep Reinforcement Learning for Connected Vehicles.
Dohyun KwonSooHyun ParkJoongheon KimPublished in: MobiSys (2019)
Keyphrases
- reinforcement learning
- multi agent
- traffic signal control
- function approximation
- state space
- reinforcement learning algorithms
- multi agent reinforcement learning
- learning agents
- cooperative
- markov decision processes
- vehicle detection
- autonomous vehicles
- model free
- real time
- traffic flow
- supervised learning
- reinforcement learning agents
- machine learning
- connected components
- multi agent environments
- temporal difference
- autonomous agents
- software agents
- vehicle tracking
- learning algorithm
- agent oriented
- road traffic
- reinforcement learning methods
- coalition formation
- travel time
- intelligent agents
- dynamic programming
- multi agent systems
- partially observable markov decision processes
- action selection
- deep learning
- intelligent transportation systems
- multiple agents
- transfer learning
- optimal policy
- state abstraction
- neural network