Hi everyone. I work on the neuroscience team at DeepMind. We’ve just published a new paper “Reinforcement learning, fast and slow” that reviews new techniques in deep reinforcement learning aiming to close the gap in the learning speed between humans and AI. Specifically, we look at how approaches like episodic deep RL and meta-reinforcement learning could unlock greater understanding in psychology and neuroscience by investigating the connection between fast and slow forms of deep RL.

If you’re interested in how AI and neuroscience can intersect, you can read the full paper here (available open access) – let us know what you think!