Reinforcement Learning Consulting

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The Value Proposition of Reinforcement Learning

Strategic decisions tend to be the most lucrative decisions a business can make and therefore they are typically the most expensive. Reinforcement learning is a technique that we pair with AI consulting to automate strategic decisions.

The value proposition of reinforcement learning.
The value proposition of reinforcement learning, courtesy of our Reinforcement Learning book.
An image showing how reinforcement learning learns.
How reinforcement learning really works, courtesy of our Reinforcement Learning book.

How Reinforcement Learning Really Works

The key premise in reinforcement learning are the concepts of an environment and a policy.

The environment represents the space that the agent will operate within, with all the signals and data it can observe. The policy represents the internal decision model of the agent, which is responsible for choosing what to do within the environment.

Over time, the agent learns to update it’s internal model of the world to make better decisions.

Reinforcement Learning Consulting Services

Winder.AI helps companies build production-quality reinforcement learning products and platforms.

Our book on industrial deep reinforcement learning that we use as part of our consulting.

World Leading RL Company

Winder.AI are industrially renowned experts in reinforcement learning (RL) and we can help you with your RL problem.

Companies like Nestle work with us to provide expertise where they need it most. Our consulting guidance helps you complete your project faster and to a higher quality that it would have been otherwise. Our flexibility allows us to integrate tightly with your ways of working.

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Our Approach to Reinforcement Learning Consulting

Successful consulting arises from decades of experience. Take a look at our tips for a successful reinforcement learning consulting project.

Reinforcement Learning Consulting Process

1. Business Context

Any problem demands context from the business. A solution for one industry may not be applicable to another, nor is every business the same. Establishing shared context helps get the project off to the right start.

2. Stakeholder Inclusion

More than just identification, we find projects are optimal when key stakeholders are including in the project. With “skin in the game”, stakeholders are far more likely to collaborate to produce a better overall solution.

3. Problem Definition

A key phase where business problems are defined and prioritized. It is worth spending time to get this right, as subsequent effort could be ineffective and wasted.

4. Domain Knowledge Transfer

Businesses are often experts in their own domain. This domain expertise is valuable to help direct future solutions.

5. Data Analysis

Any reinforcement learning consulting involves a limited amount of actual data science. In this phase expert data analysts extract knowledge from the data. This often leverages actionable insight.

6. Research and Validation

Following analysis, some time is often spent validating results or confirming value.

7. Ethical/Legal/Safety Analysis

Any work that arises from the consulting should be de-risked in terms of ethical concerns, legal ramifications, or safety risks. This step depends on the industry, the domain, and the context of the problem.

8. Strategic Solution

A solution is presented back to key stakeholders. In many projects we then move into an implementation phase. Other times we step back and perform another iteration to find a better problem.

The OODA loop for continuous innovation.
Winder.AI’s data science consulting strives for continuous innovation. Courtesy of our Reinforcement Learning book.

Continuous Innovation

The infamous OODA loop, originally developed by the US military, is of particular use during our work because it helps promote innovation.

At every phase we look for opportunities to add value and make your products and services better. Our clients find that our work greatly exceeds their expectations due to the extra value presented by our solutions.

The World's Best AI Companies

From startups to the world’s largest enterprises, companies trust Winder.AI.

Selected Case Studies

Some of our most recent work. You can find more in our portfolio.

Announcing Stable Audio: A Generative AI Music Service

We’re pleased to announce the release of Stable Audio, a new generative AI music service. Stable Audio is a collaboration between Stability.AI and Winder.AI that leverages state-of-the-art audio diffusion models to generate high-quality music from a text prompt.

Explain, Enhance and Enrich Your Data with Bacalhau Amplify

Bacalhau is a project started under Protocol Labs, but has now spun out into Expanso, Inc. Expanso is a leading Web3 innovator specializing in developing next generation decentralized commodity services. This case study, which includes a video presentation, describes the proceeds of this collaboration. The Bacalhau team asked Winder.AI to help them develop a new AI product designed to perform data engineering at web-scale, backed by Web3 technologies.

Presentation: MLOps and the Online Safety Bill

This is a video of a presentation about the UK’s online safety bill. This places new burdens on social media companies to moderate content to keep the public safe. This video discusses how platforms are using MLOps to help operate AI solutions that allow them to scale and prevent hundreds of violating posts from being published every second.

Recent Reinforcement Learning Articles

Find more articles in our blog.

Deep Reinforcement Learning Workshop - Hands-on with Deep RL

This is a video of a workshop about deep reinforcement learning (DRL). First presented at ODSC London in 2023, it is nearly three hours long and covers a wide variety of topics. Split into three sections, the video introduces DRL and RL applications, explains how to develop an RL project, and walks you through two RL example notebooks.

Reinforcement Learning In Finance

Our financial client are based in the UK. They specialize in providing services to the finance industry. Their data science team embarked on a project to leverage reinforcement learning within their product offering. Winder.AI, world-leading authors and experts on reinforcement learning, helped them deliver their POC into production. Read on to find out more.

Reinforcement Learning Presentation: Cyber Security

Dr. Phil Winder shares experiences of Winder.AI’s reinforcement learning consulting experience at a variety of large and small organizations. Abstract In this talk he focuses on RL applications, looking at the use of RL in cyber security and discusses one interesting case study about how Winder.AI helped an internal security team develop a tool to hack web application firewalls. About This Series Welcome to Winder.AI talks. A series of free interactive webinars hosted by Dr Phil Winder, CEO of Winder.

Start Your RL Consulting Project Now

The team at Winder.AI are ready to collaborate with you on your rl consulting project. We will design and execute a solution specific to your needs, so you can focus on your own goals. Fill out the form below to get started, or contact us in another way.