High Performance Map Matching with Markov Decision Processes (MDPs) and Hidden Markov Models (HMMs).
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Updated
Oct 24, 2023 - C++
High Performance Map Matching with Markov Decision Processes (MDPs) and Hidden Markov Models (HMMs).
A tool for parallel automated controller synthesis for large-scale stochastic systems.
I used this project to master c++. I just reimplemented monte carlo tree search agent on the game of hex with cpp.
Benchmarking Distributed Inexact Policy Iteration for Large-Scale Markov Decision Processes
An algorithm that designs blocked Response-Adaptive Randomized (RAR) clinical trials
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