424 citations · 1.3k across the 18 of their papers we have counts for
Showing 2018Show all
2 papers · 1 filter
cs.LG2018★ 244 cited
Implicit Quantile Networks for Distributional Reinforcement Learning
Will Dabney, Georg Ostrovski, David Silver +1
In this work, we build on recent advances in distributional reinforcement learning to give a generally applicable, flexible, and state-of-the-art distributional variant of DQN. We…
cs.LG2018★ 31 cited
Autoregressive Quantile Networks for Generative Modeling
Georg Ostrovski, Will Dabney, Rémi Munos
We introduce autoregressive implicit quantile networks (AIQN), a fundamentally different approach to generative modeling than those commonly used, that implicitly captures the dist…