DeepTraffic: Driving Fast through Dense Traffic with Deep Reinforcement Learning.
Lex FridmanBenedikt JenikJack TerwilligerPublished in: CoRR (2018)
Keyphrases
- reinforcement learning
- traffic accidents
- traffic conditions
- function approximation
- traffic flow
- network traffic
- driving simulator
- state space
- deep learning
- model free
- machine learning
- multi agent reinforcement learning
- traffic engineering
- traffic management
- markov decision processes
- optimal policy
- temporal difference
- road network
- robotic control
- driving behavior
- multi agent
- reinforcement learning algorithms
- congestion control
- autonomous driving
- traffic safety
- real time
- action selection
- learning algorithm
- road traffic
- urban traffic
- internet traffic
- transfer learning
- traffic data