Improving Automated Driving Through POMDP Planning With Human Internal States.
Zachary SunbergMykel J. KochenderferPublished in: IEEE Trans. Intell. Transp. Syst. (2022)
Keyphrases
- internal states
- input output
- planning problems
- partially observable markov decision processes
- belief space
- partially observable
- belief state
- partially observable markov decision process
- reinforcement learning
- optimal policy
- markov decision processes
- ai planning
- stochastic domains
- blocks world
- heuristic search
- finite state
- motion planning
- internal state
- partially observable stochastic domains
- artificial intelligence
- human subjects
- sequential decision making problems