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Anil Yildiz

2 accepted papers

2021

Bayesian Optimized Monte Carlo Planning

AAAI 2021technical

Online solvers for partially observable Markov decision processes have difficulty scaling to problems with large action spaces. Monte Carlo tree search with progressive widening attempts to improve scaling by sampling from the action space to construct a policy search tree. The performance of progre…

2021

Improved POMDP Tree Search Planning with Prioritized Action Branching

AAAI 2021technical

Online solvers for partially observable Markov decision processes have difficulty scaling to problems with large action spaces. This paper proposes a method called PA-POMCPOW to sample a subset of the action space that provides varying mixtures of exploitation and exploration for inclusion in a sear…