tile-coder-ts
A tile coder that runs on your browser. A classic representation used for linear function approximation in reinforcement learning.
Reinforcement Learning
On the Conservation of Mutual Information
Machine Learning, like many disciplines, uses random vairables (RVs) to model the outcomes of events. Loosely speaking, these are variables that can take on any value in some set, each with some probability.1 As you could imagine, such a general definition allows RVs to describe the outcomes of a wide range of events. These could be the pixel values from taking a photograph, the words that follow a paragraph, the temperature readings from a doctor’s thermometer, or even the observations and actions from an agent interacting with its environment. ...
Position: Deployed Reinforcement Learning should be Continual
ICML 2026
Paper
Poster
Presentation
Many deployments are continual RL problems approximated as non-continual. We term these ‘measurable deployments’.