All Blog Posts
-
Tackling Minecraft with AI: My Journey in the Project MineRL Competition
My experience solving the navigation task in the MineRL competition, a challenge to teach an AI to play Minecraft using reinforcement learning and human priors.
-
Inventory Optimization with MDP and Reinforcement Learning
A comparison of using Markov Decision Processes (MDP) and Reinforcement Learning to solve the classic inventory optimization problem.
-
An Introduction to Deep Q-Learning (DQN)
Learn how Deep Q-Networks (DQN) use neural networks and experience replay to solve complex reinforcement learning problems, like playing Atari games.
-
Q-Learning Explained: A Reinforcement Learning Guide
A beginner-friendly guide to Q-Learning, a value-based reinforcement learning algorithm. Understand the Bellman equation, Q-tables, and see it in action.
-
An Introduction to Reinforcement Learning
A foundational guide to Reinforcement Learning, covering key concepts like policies, rewards, value functions, and Markov Decision Processes (MDP).
-
Building a Toxic Comment Classifier for a Kaggle Competition
My journey through the Kaggle Toxic Comment Classification challenge, from data analysis to building GRU and TextCNN models with Keras.