Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Will Dabney is active.

Publication


Featured researches published by Will Dabney.


international conference on machine learning | 2017

A Distributional Perspective on Reinforcement Learning

Marc G. Bellemare; Will Dabney; Rémi Munos


arXiv: Learning | 2018

The Cramer Distance as a Solution to Biased Wasserstein Gradients

Marc G. Bellemare; Ivo Danihelka; Will Dabney; Shakir Mohamed; Balaji Lakshminarayanan; Stephan Hoyer


national conference on artificial intelligence | 2018

Rainbow: Combining Improvements in Deep Reinforcement Learning

Matteo Hessel; Joseph Modayil; Hado van Hasselt; Tom Schaul; Georg Ostrovski; Will Dabney; Dan Horgan; David Silver


neural information processing systems | 2017

Successor Features for Transfer in Reinforcement Learning

André da Motta Salles Barreto; Will Dabney; Rémi Munos; Jonathan J. Hunt; Tom Schaul; Hado van Hasselt; David Silver


national conference on artificial intelligence | 2018

Distributional Reinforcement Learning with Quantile Regression

Will Dabney; Mark Rowland; Marc G. Bellemare; Rémi Munos


international conference on learning representations | 2018

Distributional Policy Gradients

Gabriel Barth-Maron; Matthew W. Hoffman; David Budden; Will Dabney; Dan Horgan; Dhruva Tb; Alistair Muldal; Nicolas Heess; Timothy P. Lillicrap


arXiv: Learning | 2018

Distributed Distributional Deterministic Policy Gradients.

Gabriel Barth-Maron; Matthew W. Hoffman; David Budden; Will Dabney; Dan Horgan; Dhruva Tb; Alistair Muldal; Nicolas Heess; Timothy P. Lillicrap


international conference on machine learning | 2018

Implicit Quantile Networks for Distributional Reinforcement Learning

Will Dabney; Georg Ostrovski; David Silver; Rémi Munos


international conference on artificial intelligence and statistics | 2018

An Analysis of Categorical Distributional Reinforcement Learning

Mark Rowland; Marc G. Bellemare; Will Dabney; Rémi Munos; Yee Whye Teh


international conference on machine learning | 2018

Autoregressive Quantile Networks for Generative Modeling

Georg Ostrovski; Will Dabney; Rémi Munos

Collaboration


Dive into the Will Dabney's collaboration.

Researchain Logo
Decentralizing Knowledge