Showing 2019Show all
2 papers · 1 filter
q-bio.NC2019
Lessons from reinforcement learning for biological representations of space
Alex Muryy, N. Siddharth, Nantas Nardelli +2
Neuroscientists postulate 3D representations in the brain in a variety of different coordinate frames (e.g. 'head-centred', 'hand-centred' and 'world-based'). Recent advances in re…
cs.LG2019
Multitask Soft Option Learning
Maximilian Igl, Andrew Gambardella, Jinke He +4
We present Multitask Soft Option Learning(MSOL), a hierarchical multitask framework based on Planning as Inference. MSOL extends the concept of options, using separate variational…