Ryan WonginTowards Data ScienceModel-Free Prediction: Reinforcement LearningPart 4: Model-Free Predictions with Monte-Carlo Learning, Temporal-Difference Learning and TD( λ)Feb 3, 2019Feb 3, 2019
Ryan WonginTowards Data SciencePlanning by Dynamic Programming: Reinforcement LearningPart 3: Explaining the concepts of the Dynamic Programming, Policy Evaluation, Policy Iteration and Value IterationNov 24, 20181Nov 24, 20181
Ryan WongImage Classification with Fastai v1Overview of how to get started with image classification using Fastai v1 with minimal code.Oct 28, 20181Oct 28, 20181
Ryan WonginTowards Data ScienceGetting Started with Markov Decision Processes: Reinforcement LearningPart 2: Explaining the concepts of the Markov Decision Process, Bellman Equation and PoliciesOct 2, 20182Oct 2, 20182
Ryan WonginTowards Data ScienceReinforcement Learning: An Introduction to the Concepts, Applications and CodePart 1: An introduction to reinforcement learning, explaining common terms, concepts and applications.Sep 23, 20183Sep 23, 20183