367 citations · 798 across the 13 of their papers we have counts for
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cs.CL2023★ 2 cited
Block-State Transformers
Mahan Fathi, Jonathan Pilault, Orhan Firat +3
State space models (SSMs) have shown impressive results on tasks that require modeling long-range dependencies and efficiently scale to long sequences owing to their subquadratic r…
cs.LG2023
Proto-Value Networks: Scaling Representation Learning with Auxiliary Tasks
Jesse Farebrother, Joshua Greaves, Rishabh Agarwal +4
Auxiliary tasks improve the representations learned by deep reinforcement learning agents. Analytically, their effect is reasonably well understood; in practice, however, their pri…