
Notes & Thoughts
A collection of articles on Reinforcement Learning, Math, and Engineering.
All Posts (3)
2024-10-31Reinforcement Learning
Notes on Reinforcement Learning: an Introduction
A deep dive into the foundational concepts of Reinforcement Learning, exploring Markov Decision Processes (MDPs) and basic policy iteration methods.
RLDeep LearningMath
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Combinatorial Optimization: an Introduction
An introduction to the field of Combinatorial Optimization, focusing on complexity classes (P vs NP) and exact vs. heuristic solving methods.
MathOptimizationAlgorithms
Read more 2024-10-28Deep Learning
Attention! Learn to Solve Routing Problems
Analyzing the application of Attention mechanisms in Neural Combinatorial Optimization. How transformers can replace heuristics for TSP and VRP.
Deep LearningOptimizationVRP
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