Deep Reenforcement Learning

Panelist: "For a i purposes without a care fbiological agents, architecture matters a lot actually" In many applications of the arel which are going to interface with humans, we want them to behave human like. The next step includes having trajectories that are sample efficient and solve problems in a similar way as humans do.