Learning good actions to take

• Cover that ‘optimality’ isn’t usually needed in practice
• Cover that simulating actions isn’t usually like simulating other parts of systems because the data isn’t usually good at all!
• Cover Bayesian optimisation and MCA-ES
• Cover how to chunk up action domains into seperate sub-domains