Your Daily AI Research tl;dr - 2022-07-03 ??

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!

1?? 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

2?? 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 scratch, up to a human expert level.

Link to the paper: https://arxiv.org/abs/2206.15378

?? MineDojo, a framework to benchmark embodied AI agents by NVIDIA!

Based on Minecraft, MineDojo features thousands of diverse, open-ended tasks and a massive, internet-scale knowledge base where AI agents can freely explore the many 3D worlds of Minecraft.?

Learn more: https://developer.nvidia.com/blog/building-generally-capable-ai-agents-with-minedojo/

Code: https://github.com/MineDojo/MineDojo

And we are already at the end of this iteration!

I hope you liked the format. Please subscribe and share it with your AI techy friends if you've enjoyed it or if it was helpful. Feel free to follow my weekly newsletter where I go in-depth into one of the papers shared, and our newsletter at Towards AI, sharing the most exciting news, papers, articles, and memes weekly.

Thank you for reading,

Louis