Alberta Machine Intelligence Institute

RL for Business

Reinforcement Learning goes beyond traditional AI. It’s designed for the realities of business: fast-moving markets, shifting conditions, and high-stakes decisions.

What is RL?

Reinforcement learning (RL) is a type of AI that learns through experience. For business, that means building smarter, more resilient systems that adapt as conditions change.

Learning by doing

How does a baby or an animal learn about the world? By trying things out, noticing the result, and trying again. RL works in much the same way.

Computers that teach themselves

Most AI models focus on classification, but RL goes further, learning strategies for sequential decision-making.

The fastest path to optimization

Instead of relying on fixed datasets, RL interacts with its environment, takes actions, and learns from feedback to improve over time.

Amii's recent RL projects

From research to real-world results

Reinforcement Learning is most useful when it leaves the lab and goes into industry—optimizing systems, automating decisions, and unlocking measurable gains.

RL Core: Wastewater treatment

RL Core is an Amii-affiliated company that leverages reinforcement learning to continuously adapt and fine-tune wastewater treatment plant operations in real time, as human operators and AI work together.

EZ Ops: Oil and gas

Amii partnered with EZ Ops to use RL to help oil and gas operators work smarter, reduce costs, and cut emissions. This platform prioritizes tasks, predicts production, and has saved customers $48M while at the same time preventing nearly 5,000 tonnes of CO₂.

ZeroSound: Noise cancellation

By combining RL with advanced sound engineering, our collaboration with ZeroSound develops innovative solutions for noise suppression in complex environments.

What makes Amii a leader in RL?

Our world-renowned RL experts are the reason leading companies trust us to develop complex AI theory into business-driving reality.

Amii Chief Scientific Advisor

Richard S Sutton

Professor Sutton is the co-author of Reinforcement Learning: An Introduction (1998, 2018), the foundational textbook that has shaped the field and continues to guide RL researchers today.

Amii Fellow & CIFAR AI Chair

Michael Bowling

Professor Bowling is a leading RL expert, and is recognized for developing systems that learn from experience, including the AI that mastered poker.

Amii Fellow & CIFAR AI Chair

Martha White

Professor White is the co-founder of RL Core Technologies, which uses RL to help manage wastewater treatment. She is known for working to create systems that can learn and adapt in real time, helping build more capable and intelligent autonomous agents.

What executives need to know

Download Amii CEO Cam Linke's latest white papers:

Cam Linke

What Boards And Executives Should Know About AI

Cam Linke

The Autonomous Advantage: RL's Role In The Next Era Of AI

Find out how Amii can help your business

We’ve built deep expertise in identifying ways to address complex problems using AI. Now, we’re ready to bring that experience to your business.

Further reading

Amii in the News