AI Self Sailing Boats

In November 2023, MARIN gave a public demonstration of an AI remotely sailing an Optimist upwind. We invite you to participate to a workshop in which you will use MARIN toolbox developed for this demonstration.

Reinforcement Learning (RL) is a branch of Artificial Intelligence (AI) that can optimise a strategy through interactions with a dynamic environment. The RL agent interacts with the environment by observing the state of the environment, deciding of an action and receiving a feedback called a reward. The agent is trained to optimize the cumulative reward over a sailing course. The reward is a transcription of a broad range of skills and knowledge such as education, sailing, data science, physics… thus everyone can contribute to the design of the reward, key element of this AI. This workshop will allow you to train your own RL agent without programming skills.

The aim of AI sail is to explore the possibilities and limitation of RL on an intuitive case study: a small sailboat intend for children training.

During the first half of this workshop, the trainees will have an overview of AI sail project, Reinforcement Learning and MARIN RL toolbox. During the second half of the workshop, the trainees will design in group the training of their own RL agent with the help of a RL specialist and using MARIN RL toolbox. A short analysis of the results of the training and their RL agent performance will be send afterward to the trainees.

Program
9:00 - 9:30am      Welcome and overview of our AI developments                                            
9:30 - 10:00am    Summary of AI SAIL project
10:00 - 12:00pm  Hands-on workshop – Part 1
12:00 - 1:00pm    Lunch and Tour
1:00 - 1:45pm      Second round tuning
1:45 – 2:30pm     More details about AI
2:30 - 3:15pm      Third round tuning
3:15 - 4:00pm      Benchmark results & Closure of Day    

… if you want to keep improving your AI-agents, no problem, there is time until 5:00pm.

Details
* Registration for KIVI members opens at 15 March 2024.
* For non-members -if seats are still available- registration opens at 18 April 2024.