Will Dabney

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

Venues

Active years

2017–2025

Best venue rank

Where they publish

Papers

34 indexed papers, newest first.

Year	Venue	Title	Authors
2025	AISTATS	A Unifying Framework for Action-Conditional Self-Predictive Reinforcement Learning.	Khimya Khetarpal, Zhaohan Daniel Guo, Bernardo vila Pires, Yunhao Tang, Clare Lyle, Mark Rowland, Nicolas Heess, Diana L. Borsa, Arthur Guez, Will Dabney
2025	ICML	Discovering Symbolic Cognitive Models from Human and Animal Behavior.	Pablo Samuel Castro, Nenad Tomasev, Ankit Anand, Navodita Sharma, Rishika Mohanta, Aparna Dev, Kuba Perlin, Siddhant Jain, Kyle Levin, Nomi lteto, Will Dabney, Alexander Novikov, Glenn C. Turner, Maria K. Eckstein, Nathaniel D. Daw, Kevin J. Miller, Kim Stachenfeld
2024	ICML	A Distributional Analogue to the Successor Representation.	Harley Wiltzer, Jesse Farebrother, Arthur Gretton, Yunhao Tang, Andr Barreto, Will Dabney, Marc G. Bellemare, Mark Rowland
2023	ICML	Settling the Reward Hypothesis.	Michael Bowling, John D. Martin, David Abel, Will Dabney
2023	ICML	Representations and Exploration for Deep Reinforcement Learning using Singular Value Decomposition.	Yash Chandak, Shantanu Thakoor, Zhaohan Daniel Guo, Yunhao Tang, Rmi Munos, Will Dabney, Diana L. Borsa
2023	ICML	Bootstrapped Representations in Reinforcement Learning.	Charline Le Lan, Stephen Tu, Mark Rowland, Anna Harutyunyan, Rishabh Agarwal, Marc G. Bellemare, Will Dabney
2023	ICML	Understanding Plasticity in Neural Networks.	Clare Lyle, Zeyu Zheng, Evgenii Nikishin, Bernardo vila Pires, Razvan Pascanu, Will Dabney
2023	ICML	Quantile Credit Assignment.	Thomas Mesnard, Wenqi Chen, Alaa Saade, Yunhao Tang, Mark Rowland, Theophane Weber, Clare Lyle, Audrunas Gruslys, Michal Valko, Will Dabney, Georg Ostrovski, Eric Moulines, Rmi Munos
2023	ICML	The Statistical Benefits of Quantile Temporal-Difference Learning for Value Estimation.	Mark Rowland, Yunhao Tang, Clare Lyle, Rmi Munos, Marc G. Bellemare, Will Dabney
2023	ICML	Understanding Self-Predictive Learning for Reinforcement Learning.	Yunhao Tang, Zhaohan Daniel Guo, Pierre Harvey Richemond, Bernardo vila Pires, Yash Chandak, Rmi Munos, Mark Rowland, Mohammad Gheshlaghi Azar, Charline Le Lan, Clare Lyle, Andrs Gyrgy, Shantanu Thakoor, Will Dabney, Bilal Piot, Daniele Calandriello, Michal Valko
2022	ICLR	Understanding and Preventing Capacity Loss in Reinforcement Learning.	Clare Lyle, Mark Rowland, Will Dabney
2022	ICML	Learning Dynamics and Generalization in Deep Reinforcement Learning.	Clare Lyle, Mark Rowland, Will Dabney, Marta Kwiatkowska, Yarin Gal
2022	ICML	Generalised Policy Improvement with Geometric Policy Composition.	Shantanu Thakoor, Mark Rowland, Diana Borsa, Will Dabney, Rmi Munos, Andr Barreto
2022	IJCAI	On the Expressivity of Markov Reward (Extended Abstract).	David Abel, Will Dabney, Anna Harutyunyan, Mark K. Ho, Michael L. Littman, Doina Precup, Satinder Singh
2021	AAAI	The Value-Improvement Path: Towards Better Representations for Reinforcement Learning.	Will Dabney, Andr Barreto, Mark Rowland, Robert Dadashi, John Quan, Marc G. Bellemare, David Silver
2021	AISTATS	On the Effect of Auxiliary Tasks on Representation Dynamics.	Clare Lyle, Mark Rowland, Georg Ostrovski, Will Dabney
2021	ICLR	Temporally-Extended ε-Greedy Exploration.	Will Dabney, Georg Ostrovski, Andr Barreto
2021	ICML	Revisiting Peng's Q(λ) for Modern Reinforcement Learning.	Tadashi Kozuno, Yunhao Tang, Mark Rowland, Rmi Munos, Steven Kapturowski, Will Dabney, Michal Valko, David Abel
2021	ICML	Counterfactual Credit Assignment in Model-Free Reinforcement Learning.	Thomas Mesnard, Theophane Weber, Fabio Viola, Shantanu Thakoor, Alaa Saade, Anna Harutyunyan, Will Dabney, Thomas S. Stepleton, Nicolas Heess, Arthur Guez, Eric Moulines, Marcus Hutter, Lars Buesing, Rmi Munos
2020	AISTATS	Adaptive Trade-Offs in Off-Policy Learning.	Mark Rowland, Will Dabney, Rmi Munos
2020	AISTATS	Conditional Importance Sampling for Off-Policy Learning.	Mark Rowland, Anna Harutyunyan, Hado van Hasselt, Diana Borsa, Tom Schaul, Rmi Munos, Will Dabney
2020	ICLR	Fast Task Inference with Variational Intrinsic Successor Features.	Steven Hansen, Will Dabney, Andr Barreto, David Warde-Farley, Tom Van de Wiele, Volodymyr Mnih
2020	ICML	Revisiting Fundamentals of Experience Replay.	William Fedus, Prajit Ramachandran, Rishabh Agarwal, Yoshua Bengio, Hugo Larochelle, Mark Rowland, Will Dabney
2019	AISTATS	The Termination Critic.	Anna Harutyunyan, Will Dabney, Diana Borsa, Nicolas Heess, Rmi Munos, Doina Precup
2019	ICLR	Recurrent Experience Replay in Distributed Reinforcement Learning.	Steven Kapturowski, Georg Ostrovski, John Quan, Rmi Munos, Will Dabney
2019	ICML	Statistics and Samples in Distributional Reinforcement Learning.	Mark Rowland, Robert Dadashi, Saurabh Kumar, Rmi Munos, Marc G. Bellemare, Will Dabney
2018	AAAI	Distributional Reinforcement Learning With Quantile Regression.	Will Dabney, Mark Rowland, Marc G. Bellemare, Rmi Munos
2018	AAAI	Rainbow: Combining Improvements in Deep Reinforcement Learning.	Matteo Hessel, Joseph Modayil, Hado van Hasselt, Tom Schaul, Georg Ostrovski, Will Dabney, Dan Horgan, Bilal Piot, Mohammad Gheshlaghi Azar, David Silver
2018	AISTATS	An Analysis of Categorical Distributional Reinforcement Learning.	Mark Rowland, Marc G. Bellemare, Will Dabney, Rmi Munos, Yee Whye Teh
2018	ICLR	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
2018	ICLR	The Reactor: A fast and sample-efficient Actor-Critic agent for Reinforcement Learning.	Audrunas Gruslys, Will Dabney, Mohammad Gheshlaghi Azar, Bilal Piot, Marc G. Bellemare, Rmi Munos
2018	ICML	Implicit Quantile Networks for Distributional Reinforcement Learning.	Will Dabney, Georg Ostrovski, David Silver, Rmi Munos
2018	ICML	Autoregressive Quantile Networks for Generative Modeling.	Georg Ostrovski, Will Dabney, Rmi Munos
2017	ICML	A Distributional Perspective on Reinforcement Learning.	Marc G. Bellemare, Will Dabney, Rmi Munos