During Michaelmas Term, OxTalks will be moving to a new platform (full details are available on the Staff Gateway).
For now, continue using the current page and event submission process (freeze period dates to be advised).
If you have any questions, please contact halo@digital.ox.ac.uk
I’ll talk about two loosely related ideas. First, I’ll describe a simple way of learning a smart (prior-dependent) reinforcement learning algorithm using recurrent networks, which we call meta-RL. Second, I’ll talk about experimental work in MEG where we found spontaneous reactivation of sequences of states in a non-spatial task. These things are related insomuch as meta-RL depends on incremental learning from a set of different tasks and needs experience to be randomized, which spontaneous reactivation could provide. More broadly, there’s a lot to learn from the relationships between all your past experiences.