Reinforcement Learning Skills Badge Additional Details

Reinforcement Learning Skills Badge

Issued by Lockheed Martin

The badge earner will be able to build a Reinforcement Learning (RL) system for sequential decision making, explain how RL fits into machine learning and when to use it in a solution. They be able to implement learning methods, model-based approaches, and build a complete RL solution, including: problem formulation, environment configuration, and algorithm selection and implementation. This badge is available to LM employees only. Links within this page may not be accessible to employees.

Additional Details

Skills

Earning Criteria

  • Option 1: Complete Udacity’s Nanodegree in Reinforcement Learning (RL) with Lockheed cohort (approx 160 hours). 4 online courses on RL fundamentals, value-based & policy-based methods, & multi-agent RL. Knowledge checks & assessments (These assessments are not required to pass the course. Course completion is driven by the projects). Graded projects – Udacity will assess. Learners will be provided with a rubric of project requirements (pass/fail).
  • Complete Coursera’s Specialization in Reinforcement Learning (RL) (48 hours). 3 online courses on RL fundamentals, sample-based learning methods, prediction & control. Knowledge checks and graded assignments – 80% - 100% accuracy. Graded Capstone project (final course) – automated review in Coursera. Learners will be provided with project requirements and score required to pass.