Participate in challenge to teach a musculoskeletal model to walk using reinforcement learning

Mobilize Center Postdoctoral Fellow Lukasz Kidzinski has organized a challenge to make a musculoskeletal model walk as far as possible in a virtual environment in 5 seconds using a reinforcement learning approach. The winner will be invited to the 2nd Applied Machine Learning Days at EPFL in Switzerland on January 2018, with travel and accommodations paid for (see program for 2017 event here).

The challenge focuses on programming a model of the brain’s motor control unit, which controls movement, within the OpenSim simulation environment. Understanding how the brain functions in normal conditions and for neurological disorders, such as cerebral palsy, multiple sclerosis or stroke, is key to improving treatments for these disorders.

Read more about the evaluation, rules and resources.