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Model free reinforcement learning monte carlo method and its shortcomings. It then goes onto explain hmc can be viewed as a specific type. Monte carlo & introduction to convexreinforcementpath (ellipsoidal constrained agent navigation).
Explains the physical analogy that underpins hamiltonian monte carlo (hmc) algorithm. Importance sampling and markov chain monte carlo (mcmc). Http//wwwcsubcca/~nando/5402013/lectureshtml course taught in 2.
Application to logistic regression. For access to lecture notes please visit.