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.
A 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.
OpenAI Fellows Summer 2018: Final projects
Highlights of the OpenAI Fellows Summer 2018 final projects
How AI training scales
Exploring the scalability of AI training methods in depth
Capstone: A tablet for thinking
Exploring Capstone, a tablet that facilitates a two-step creative process through the use of cards and inking on a freeform canvas.
Quantifying generalization in reinforcement learning
Exploring the quantification of generalization in reinforcement learning.
Integration Testing for Memory Leaks
A discussion on integration testing techniques for identifying and preventing memory leaks in iOS applications.
A Pragmatic Approach to Tech Debt Reduction
A pragmatic approach to reducing tech debt and managing its impact on software development.
Spinning Up in Deep RL
A technical exploration of initializing an environment in Deep Reinforcement Learning.
Learning concepts with energy functions
Exploring the application of energy functions in learning various concepts
Plan online, learn offline: Efficient learning and exploration via model-based control
Enhancing learning and exploration through model-based control for offline efficiency