Jane StreetAccelerating Self-Play Learning in Go
Improving models through machine learning and exploring deep learning and reinforcement learning in Go.
Jane StreetMachining the ultimate hackathon prize
Creating an innovative prize for a hackathon that reflects the maker spirit of the competition.
OpenAISpinning Up in Deep RL: Workshop review
Exploring insights and takeaways from a deep reinforcement learning workshop
OpenAIAI safety needs social scientists
Exploring the integration of social scientists in ensuring AI safety
SoundCloudRadical Candor: An Experience Report
Exploring the challenges of measuring success as a manager and the benefits of radical candor.
OpenAIBetter language models and their implications
Exploring the impact of advanced language models on various industries
OpenAIComputational limitations in robust classification and win-win results
Exploring computational limitations in robust classification and achieving win-win results.
Jane StreetPlaying Atari Games with OCaml and Deep Reinforcement Learning
Using OCaml to implement deep reinforcement learning experiments.
Jane StreetL2 Regularization and Batch Norm
An exploration of the interaction between L2 regularization and batch normalization in machine learning.
SoundCloudGarbage Collection in Redux Applications
Garbage collection in Redux applications on the SoundCloud Xbox application running on Microsoft's UWP framework.
Jane StreetA tutorial for building web applications with Incr_dom
A tutorial on building web applications with Incr_dom, an in-house framework at Jane Street, modeled after React's virtual DOM and built on top of Incremental for efficient rendering.
OpenAIOpenAI Fellows Summer 2018: Final projects
Highlights of the OpenAI Fellows Summer 2018 final projects