Interpretable Local Tree Surrogate Policies

no code implementations • 16 Sep 2021 • John Mern, Sidhart Krishnan, Anil Yildiz, Kyle Hatch, Mykel J. Kochenderfer

In this work, we propose a method to build predictable policy trees as surrogates for policies such as neural networks.

Improved POMDP Tree Search Planning with Prioritized Action Branching

1 code implementation • 7 Oct 2020 • John Mern, Anil Yildiz, Larry Bush, Tapan Mukerji, Mykel J. Kochenderfer

Online solvers for partially observable Markov decision processes have difficulty scaling to problems with large action spaces.

Bayesian Optimized Monte Carlo Planning

1 code implementation • 7 Oct 2020 • John Mern, Anil Yildiz, Zachary Sunberg, Tapan Mukerji, Mykel J. Kochenderfer

Monte Carlo tree search with progressive widening attempts to improve scaling by sampling from the action space to construct a policy search tree.

Bayesian Optimization