
Neural MMO: A massively multiagent game environment
Exploring the Neural MMO: A comprehensive look at a cutting-edge massively multiagent game environment.

End-user Programming
Examining the challenges and history of achieving empowered computing through end-user programming.

Accelerating Self-Play Learning in Go
Improving models through machine learning and exploring deep learning and reinforcement learning in Go.

Machining the ultimate hackathon prize
Creating an innovative prize for a hackathon that reflects the maker spirit of the competition.

Spinning Up in Deep RL: Workshop review
Exploring insights and takeaways from a deep reinforcement learning workshop

AI safety needs social scientists
Exploring the integration of social scientists in ensuring AI safety

Radical Candor: An Experience Report
Exploring the challenges of measuring success as a manager and the benefits of radical candor.

Better language models and their implications
Exploring the impact of advanced language models on various industries

Computational limitations in robust classification and win-win results
Exploring computational limitations in robust classification and achieving win-win results.

Playing Atari Games with OCaml and Deep Reinforcement Learning
Using OCaml to implement deep reinforcement learning experiments.

L2 Regularization and Batch Norm
An exploration of the interaction between L2 regularization and batch normalization in machine learning.

Garbage Collection in Redux Applications
Garbage collection in Redux applications on the SoundCloud Xbox application running on Microsoft's UWP framework.