Discretionary Lane Change Decision Making using Reinforcement Learning with Model-Based Exploration.
Songan ZhangHuei PengSubramanya NageshraoH. Eric TsengPublished in: ICMLA (2019)
Keyphrases
- reinforcement learning
- action selection
- decision making
- model free
- exploration strategy
- lane change
- active exploration
- exploration exploitation
- function approximation
- reinforcement learning algorithms
- temporal difference
- decision makers
- decision support system
- markov decision processes
- state space
- model based reinforcement learning
- interval estimation
- data mining
- fuzzy logic
- autonomous learning
- decision process
- learning process
- exploration exploitation tradeoff
- temporal difference learning
- fully unsupervised
- traffic flow
- active learning
- expert systems
- multi agent
- partially observable
- evaluation function
- learning problems
- information processing
- multi agent reinforcement learning
- decision support
- dynamic programming
- learning algorithm
- machine learning