Simplifying Complex Observation Models in Continuous POMDP Planning with Probabilistic Guarantees and Practice.
Idan Lev-YehudiMoran BarenboimVadim IndelmanPublished in: CoRR (2023)
Keyphrases
- planning problems
- real world
- uncertain environments
- reinforcement learning
- belief space
- partially observable markov decision processes
- partially observable
- belief state
- markov decision problems
- motion planning
- uncertain data
- probabilistic planning
- partially observable markov decision process
- complex systems
- state space
- continuous valued
- high level
- complex domains
- finite state
- dynamical systems
- bayesian networks
- heuristic search
- sufficient conditions
- quality guarantees