Reinforcement Learning with Iterative Reasoning for Merging in Dense Traffic.
Maxime BoutonAlireza NakhaeiDavid IseleKikuo FujimuraMykel J. KochenderferPublished in: CoRR (2020)
Keyphrases
- reinforcement learning
- function approximation
- traffic flow
- knowledge base
- reasoning process
- markov decision processes
- automated reasoning
- reinforcement learning algorithms
- traffic control
- state space
- network traffic
- learning algorithm
- qualitative reasoning
- traffic congestion
- stereo correspondence
- sparse reconstruction
- evidential reasoning
- iterative methods
- reasoning mechanisms
- real time
- reasoning tasks
- model free
- road network
- intrusion detection
- fuzzy logic
- knowledge representation
- multi agent systems
- video sequences
- machine learning