Mehmet İşcan
Arkadaşlar merhaba.
Yıldız Teknik Üniversitesi Mekatronik Mühendisliği bölümünde doktor ogretim uyesi olarak çalışmaktayım. Mekatronik mühendisliğinden mezun olduktan sonra çeşitli dersler için videolar hazırlamaktayım.
Biyomedikal alanında yüksek lisans tezimi tamamlayıp, şu anda doktora çalışmaları gerceklestirdim. Ayrıca özel sektörde çeşitli projeler geliştirmekte ve ülkemizdeki bilimsel anlayışı felsefe tabanında geliştirmeye çalışmaktayım.
Temel alan olarak fizyolojik modelleme, yapay zeka, sinyal işleme ve kontrol teorisi üzerine bilimsel araştırmalarımı yürütmekteyim.
Ayrıca ülkemizdeki bilimsel projelerin arge süreçlerinden çıkarılıp topluma kazandırılması için yazılım-elektronik-makina etkileşimli cihazlar tasarlamaktayım.
Umarım derslerim sizin için aydınlatıcı olur :)
Beni desteklemek isterseniz,
https://www.patreon.com/mehmet_iscan
https://medium.com/@mehmetiscan
https://www.researchgate.net/profile/Mehmet_Iscan2
Reinforcement Learning - Les 14-15 - Off Policy Approximation - Optimal Control and RL Examples
Reinforcement Learning - Les 14-14 - Off Policy Approximation - Traces with Control Variates
Reinforcement Learning - Les 14-13 - Off Policy Approximation - Variable Lambda and Gamma
Reinforcement Learning - Les 14-12 - Off Policy Approximation - SARSA Lambda Learning
Reinforcement Learning - Les 14-11 - Off Policy Approximation - Dutch Traces in Monte Carlo
Reinforcement Learning - Les 14-10 - Off Policy Approximation - True Online TD Lambda Method
Reinforcement Learning - Les 14-8 - Off Policy Approximation - Forward View Online Update
Reinforcement Learning - Les 14-9 - Off Policy Approximation - Optimal Control Example
Reinforcement Learning - Les 14-7 - Off Policy Approximation - Recursive TD and Lambda Return
Reinforcement Learning - Les 14-6 - Off Policy Approximation - N-Step Truncated Lambda Return
Reinforcement Learning - Les 14-5 - Off Policy Approximation - Eligibility Traces Optimal Control
Reinforcement Learning - Les 14-4 - Off Policy Approximation - Semi Gradient TD Lambda Estimation
Reinforcement Learning - Les 14-3 - Off Policy Approximation - TD Lambda and Operators
Reinforcement Learning - Les 13-15 - Off Policy Approximation - GTD2 and TDC Algorithm
Reinforcement Learning - Les 14-2 - Off Policy Approximation - Lambda N-Step Return and Operator
Reinforcement Learning - Les 13-17 - Off Policy Approximation - Emphatic TD Methods
Reinforcement Learning - Les 14-1 - Off Policy Approximation - Eligibility Traces
Reinforcement Learning - Les 13-16 - Off Policy Approximation - RL and Optimal Control Example
Reinforcement Learning - Les 13-14 - Off Policy Approximation - Gradient TD Methods
Reinforcement Learning - Les 13-11 - Off Policy Approximation - True Gradient and Hessian
Reinforcement Learning - Les 13-13 - Off Policy Approximation - HJB Residuals and Difficulties
Reinforcement Learning - Les 13-12 - Off Policy Approximation - Divergence and Deadly Triad
Reinforcement Learning - Les 13-8 - Off Policy Approximation - TD(0) Fixed Point Equation
Reinforcement Learning - Les 13-10 - Off Policy Approximation - Gradient Descent for Bellman Error
Reinforcement Learning - Les 13-7 - Off Policy Approximation - Linear Value - Function Geometry
Reinforcement Learning - Les 13-9 - Off Policy Approximation - HJB and Optimal Control
Reinforcement Learning - Les 13-6 - Off Policy Approximation - Off Policy Divergence
Reinforcement Learning - Les 13-5 - Off Policy Approximation - DC Motor Control in Policies
Reinforcement Learning - Les 13-4 - Off Policy Approximation - Semi-Gradient TD(0) Update
Reinforcement Learning - Les 13-3 - Off Policy Approximation - On-Policy TD(0) in Bellman