
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

How We Develop New Features Using Offsites and Clean Architecture
Developing new features in the SoundCloud iOS App using offsites and clean architecture.

Tablet Platform Showdown
Comparison of tablet platforms for research prototypes including Android, iPad, Surface, and Chrome OS

Slow Software
Understanding the concept of software speed and common reasons for slow performance.

Reinforcement learning with prediction-based rewards
Exploring the integration of reinforcement learning with prediction-based rewards.

Learning complex goals with iterated amplification
Maximizing goal achievement through iterated amplification methods

OpenAI Scholars 2019: Applications open
A guide to applying for the OpenAI Scholars 2019 program