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Your Daily AI Research tl;dr — 2022–07–03 🧠

One simple sentence to know if the paper, code, and news are worth your time.

Louis-François Bouchard
2 min readJul 3, 2022

Welcome to your official daily AI research tl;dr (often with code and news) for AI enthusiasts where I share the most exciting papers I find daily, along with a one-liner summary to help you quickly determine if the article (and code) is worth investigating. I will also take this opportunity to share daily exciting news in the field.

Let’s get started with this iteration!

1️⃣ Forecasting Future World Events with Neural Networks

A dataset for measuring the ability of neural networks to forecast future world events, containing thousands of forecasting questions and an accompanying news corpus: a novel challenge for large language models.

Link to the paper: https://arxiv.org/abs/2206.15474

The dataset: https://github.com/andyzoujm/autocast

2️⃣ Mastering the Game of Stratego with Model-Free Multiagent Reinforcement Learning

DeepNash, an agent trained with model-free multiagent reinforcement learning capable of learning to play the imperfect information game Stratego from…

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Louis-François Bouchard
Louis-François Bouchard

Written by Louis-François Bouchard

I try to make Artificial Intelligence accessible to everyone. Ex-PhD student, AI Research Scientist, and YouTube (What’s AI). https://www.louisbouchard.ai/

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