Deep Reinforcement Learning
A deep dive into advanced reinforcement learning techniques, architectures, and the frontier of AI decision-making systems.
4/4/2022Read →
Digital Shelf — Ayush Mandowara's Blogs & Videos
Model-Free Methods in RL
Understanding model-free approaches — Monte Carlo, Temporal Difference, and Q-Learning — in reinforcement learning.
3/21/2022Read →
Classical Reinforcement Learning
Introduction to classical RL methods, Markov Decision Processes, and the foundations of intelligent agents.
3/3/2022Read →
Backpropagation
The algorithm behind training neural networks — computing gradients through the chain rule and updating weights via gradient descent.
12/25/2021Read →
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