Python package for the simulation and estimation of a prototypical infinite-horizon dynamic discrete choice model based on Rust (1987)
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Updated
Mar 3, 2023 - Python
Python package for the simulation and estimation of a prototypical infinite-horizon dynamic discrete choice model based on Rust (1987)
Implementations of methods in book <Reinforcement Learning: an introduction> by Sutton Barto, using Python.
A fast solver for Markov Decision Processes
MDPs solved using Value Iteration and Linear Programming
Interpreter of Swarm
A Yahtzee-solving python package and command line tool
First Reinforcement Learning practical work in my Data Science specialization course.
Stanford-CS221 class practical's, Assignments and projects
BRTDP implemented including DS-MPI for upper bound
Analyses, experiments, and evaluations for the TrialMDP method
Machine-learning application in path finding using the n-step TD(lambda) algorithm
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