Belief state separated reinforcement learning for autonomous vehicle decision making under uncertainty.
Ziqing GuYujie YangJingliang DuanShengbo Eben LiJianyu ChenWenhan CaoSifa ZhengPublished in: ITSC (2021)
Keyphrases
- belief state
- decision making under uncertainty
- autonomous vehicles
- reinforcement learning
- state space
- partially observable
- decision makers
- robot control
- decision making
- influence diagrams
- stochastic programming
- partially observable markov decision processes
- possibility theory
- path planning
- belief revision
- optimal policy
- continuous state
- obstacle avoidance
- markov decision processes
- decision problems
- dynamic programming
- preference relations
- multiagent systems
- multistage
- particle filter
- incomplete information
- markov chain
- mobile robot
- real option
- pairwise
- linear program
- dynamic bayesian networks
- nonmonotonic reasoning
- complex environments
- state variables
- probabilistic inference
- real time
- autonomous agents
- dynamical systems
- sufficient conditions
- rough sets
- search space
- learning algorithm
- data mining