Ziad SALLOUMHigh-Performance C#: InteroperabilityC# is a powerful and versatile programming language that offers a wide range of features and capabilities for developers. One of its…Feb 18, 2023Feb 18, 2023
Ziad SALLOUMinTowards Data ScienceTips on How to Learn Deep Reinforcement Learning EffectivelyA summary of years of experience that might help you save timeJan 12, 2022Jan 12, 2022
Ziad SALLOUMinTowards Data SciencePractical Guide to DQNTensorflow.js implementation of DQN in Reinforcement LearningJan 7, 2022Jan 7, 2022
Ziad SALLOUMinTowards Data ScienceTinkering with Monte Carlo Method in Reinforcement LearningPushing the limits of MC method with special cases and practical examples.Dec 18, 2021Dec 18, 2021
Ziad SALLOUMHow to Benefit from RL-LabOverview to Reinforcement Learning newcomersDec 16, 2021Dec 16, 2021
Ziad SALLOUMReinforcement Learning LabA smooth start in Reinforcement LearningDec 14, 2021Dec 14, 2021
Ziad SALLOUMinTowards Data ScienceCounterfactual Regret MinimizationIntroduction to CFR and implementation of the Tic-Tac-Toe gameDec 28, 20201Dec 28, 20201
Ziad SALLOUMinTowards Data ScienceIntroduction to Regret in Reinforcement LearningSometimes regretting is a good way to improveMay 19, 20201May 19, 20201
Ziad SALLOUMinTowards Data ScienceNeural Fictitious Self-Play in PracticeA concrete implementation of Neural Fictitious Self-Play in Leduc Hold’em Poker GameMar 2, 2020Mar 2, 2020
Ziad SALLOUMinTowards Data ScienceUnderstanding Reinforcement Learning Math, for DevelopersA gentle approach for developers to decipher the math formula of Reinforcement LearningFeb 3, 2020Feb 3, 2020
