Reinforcement Learning with Uncertainty Estimation for Tactical Decision-Making in Intersections.
Carl-Johan HoelTommy TramJonas SjöbergPublished in: CoRR (2020)
Keyphrases
- decision making
- reinforcement learning
- sequential decision making
- decision theory
- decision making under uncertainty
- decision makers
- action selection
- function approximation
- partial observability
- data mining
- learning algorithm
- fuzzy linear programming
- machine learning
- estimation process
- accurate estimation
- multi agent
- state space
- uncertain data
- optimal policy
- parameter estimation
- maximum likelihood
- robust optimization
- policy search
- utility theory
- fuzzy logic
- decision support system
- real option
- influence diagrams
- temporal difference
- learning classifier systems
- belief functions
- multi criteria