POMDP Planning at Roundabouts.
Henrik BeyMoritz SackmannAlexander LangeJörn ThieleckePublished in: IV Workshops (2021)
Keyphrases
- planning problems
- belief space
- partially observable markov decision processes
- partially observable markov decision process
- partially observable
- finite state
- belief state
- planning under uncertainty
- reinforcement learning
- decision theoretic
- partial observability
- heuristic search
- state space
- continuous state
- decision support
- multi agent
- stochastic domains
- ai planning
- motion planning
- machine learning
- predictive state representations
- dynamical systems
- domain independent
- optimal policy
- markov chain
- partially observable stochastic domains
- planning domains
- point based value iteration
- probabilistic planning
- planning systems
- single agent
- infinite horizon
- decision problems
- orders of magnitude
- bayesian networks