Manifold Madness
Another great tech blog
By Matthew Deakos
Series Showcase
Monte Carlo Tree Search
A Two-Part Series Exploring MCTS and its potential when used alongside a neural network.
Working Through 'What If?'
A journey through the book "What If?". Contains notes, opinions, and technical discussions around causal inference and its applications.
Other Recent Posts
What If: Effect Modification
Notes on the Fourth Chapter of "What If?": Effect Modification. Discusses how to detect and adjust for effect modifiers
What If: Observational Studies
Notes on the Third Chapter of "What If?": Observational Studies. Covers the move to causal inference on observed data, identifiability conditions, and the necessity of a target trial.
What If: Randomized Experiments
Discussing the foundations of causal estimation and its roots in Randomized Trials.
What If: Notions of Causality
Working through the introductory chapter of "What If?" by Hernan and Robins.
Integrating Monte Carlo Tree Search and Neural Networks
A discussion of how to use neural networks as a rollout policy in Monte Carlo Tree Search, and how to use MCTS to train the neural network.
Monte Carlo Tree Search
A brief introduction to Monte Carlo tree search, a powerful reinforcement learning technique that's been employed in some of the most revolutionary game playing AI, including AlphaGo and AlphaZero.