David Silver

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

Venues

Active years

2003–2022

Best venue rank

Where they publish

Papers

50 indexed papers, newest first.

Year	Venue	Title	Authors
2022	ICLR	Planning in Stochastic Environments with a Learned Model.	Ioannis Antonoglou, Julian Schrittwieser, Sherjil Ozair, Thomas K. Hubert, David Silver
2022	ICLR	Policy improvement by planning with Gumbel.	Ivo Danihelka, Arthur Guez, Julian Schrittwieser, David Silver
2022	ICLR	Bootstrapped Meta-Learning.	Sebastian Flennerhag, Yannick Schroecker, Tom Zahavy, Hado van Hasselt, David Silver, Satinder Singh
2022	ICLR	Learning by Directional Gradient Descent.	David Silver, Anirudh Goyal, Ivo Danihelka, Matteo Hessel, Hado van Hasselt
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	AAAI	Expected Eligibility Traces.	Hado van Hasselt, Sephora Madjiheurem, Matteo Hessel, David Silver, Andr Barreto, Diana Borsa
2021	ICML	Muesli: Combining Improvements in Policy Optimization.	Matteo Hessel, Ivo Danihelka, Fabio Viola, Arthur Guez, Simon Schmitt, Laurent Sifre, Theophane Weber, David Silver, Hado van Hasselt
2021	ICML	Learning and Planning in Complex Action Spaces.	Thomas Hubert, Julian Schrittwieser, Ioannis Antonoglou, Mohammadamin Barekatain, Simon Schmitt, David Silver
2020	ICLR	Behaviour Suite for Reinforcement Learning.	Ian Osband, Yotam Doron, Matteo Hessel, John Aslanides, Eren Sezener, Andre Saraiva, Katrina McKinney, Tor Lattimore, Csaba Szepesvri, Satinder Singh, Benjamin Van Roy, Richard S. Sutton, David Silver, Hado van Hasselt
2020	ICML	What Can Learned Intrinsic Rewards Capture?	Zeyu Zheng, Junhyuk Oh, Matteo Hessel, Zhongwen Xu, Manuel Kroiss, Hado van Hasselt, David Silver, Satinder Singh
2019	AISTATS	Credit Assignment Techniques in Stochastic Computation Graphs.	Thophane Weber, Nicolas Heess, Lars Buesing, David Silver
2019	ICLR	Universal Successor Features Approximators.	Diana Borsa, Andr Barreto, John Quan, Daniel J. Mankowitz, Hado van Hasselt, Rmi Munos, David Silver, Tom Schaul
2019	ICML	An Investigation of Model-Free Planning.	Arthur Guez, Mehdi Mirza, Karol Gregor, Rishabh Kabra, Sbastien Racanire, Theophane Weber, David Raposo, Adam Santoro, Laurent Orseau, Tom Eccles, Greg Wayne, David Silver, Timothy P. Lillicrap
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	ICLR	Distributed Prioritized Experience Replay.	Dan Horgan, John Quan, David Budden, Gabriel Barth-Maron, Matteo Hessel, Hado van Hasselt, David Silver
2018	ICML	Transfer in Deep Reinforcement Learning Using Successor Features and Generalised Policy Improvement.	Andr Barreto, Diana Borsa, John Quan, Tom Schaul, David Silver, Matteo Hessel, Daniel J. Mankowitz, Augustin Zdek, Rmi Munos
2018	ICML	Implicit Quantile Networks for Distributional Reinforcement Learning.	Will Dabney, Georg Ostrovski, David Silver, Rmi Munos
2018	ICML	Learning to Search with MCTSnets.	Arthur Guez, Theophane Weber, Ioannis Antonoglou, Karen Simonyan, Oriol Vinyals, Daan Wierstra, Rmi Munos, David Silver
2017	ICLR	Reinforcement Learning with Unsupervised Auxiliary Tasks.	Max Jaderberg, Volodymyr Mnih, Wojciech Marian Czarnecki, Tom Schaul, Joel Z. Leibo, David Silver, Koray Kavukcuoglu
2017	ICML	Decoupled Neural Interfaces using Synthetic Gradients.	Max Jaderberg, Wojciech Marian Czarnecki, Simon Osindero, Oriol Vinyals, Alex Graves, David Silver, Koray Kavukcuoglu
2017	ICML	The Predictron: End-To-End Learning and Planning.	David Silver, Hado van Hasselt, Matteo Hessel, Tom Schaul, Arthur Guez, Tim Harley, Gabriel Dulac-Arnold, David P. Reichert, Neil C. Rabinowitz, Andr Barreto, Thomas Degris
2017	ICML	FeUdal Networks for Hierarchical Reinforcement Learning.	Alexander Sasha Vezhnevets, Simon Osindero, Tom Schaul, Nicolas Heess, Max Jaderberg, David Silver, Koray Kavukcuoglu
2016	AAAI	Deep Reinforcement Learning with Double Q-Learning.	Hado van Hasselt, Arthur Guez, David Silver
2016	ICML	Asynchronous Methods for Deep Reinforcement Learning.	Volodymyr Mnih, Adri Puigdomnech Badia, Mehdi Mirza, Alex Graves, Timothy P. Lillicrap, Tim Harley, David Silver, Koray Kavukcuoglu
2015	CSCW	Authenticity, Relatability and Collaborative Approaches to Sharing Knowledge about Assistive Living Technology.	John Vines, Peter C. Wright, David Silver, Maggie Winchcombe, Patrick Olivier
2015	ICML	Fictitious Self-Play in Extensive-Form Games.	Johannes Heinrich, Marc Lanctot, David Silver
2015	ICML	Universal Value Function Approximators.	Tom Schaul, Daniel Horgan, Karol Gregor, David Silver
2015	IJCAI	Smooth UCT Search in Computer Poker.	Johannes Heinrich, David Silver
2015	IROS	Scene understanding for a high-mobility walking robot.	David M. Bradley, Jonathan K. Chang, David Silver, Matthew Powers, Herman Herman, Peter Rander, Anthony Stentz
2014	ICML	Deterministic Policy Gradient Algorithms.	David Silver, Guy Lever, Nicolas Heess, Thomas Degris, Daan Wierstra, Martin A. Riedmiller
2013	ICML	Concurrent Reinforcement Learning from Customer Interactions.	David Silver, Leonard Newnham, David Barker, Suzanne Weller, Jason McFall
2012	ICML	Compositional Planning Using Optimal Option Models.	David Silver, Kamil Ciosek
2012	ICRA	Active learning from demonstration for robust autonomous navigation.	David Silver, J. Andrew Bagnell, Anthony Stentz
2011	ACL	Learning to Win by Reading Manuals in a Monte-Carlo Framework.	S. R. K. Branavan, David Silver, Regina Barzilay
2011	IJCAI	Non-Linear Monte-Carlo Search in Civilization II.	S. R. K. Branavan, David Silver, Regina Barzilay
2011	IROS	Monte Carlo Localization and registration to prior data for outdoor navigation.	David Silver, Anthony Stentz
2010	AAAI	Reinforcement Learning via AIXI Approximation.	Joel Veness, Kee Siong Ng, Marcus Hutter, David Silver
2009	ICML	Monte-Carlo simulation balancing.	David Silver, Gerald Tesauro
2009	ICML	Fast gradient-descent methods for temporal-difference learning with linear function approximation.	Richard S. Sutton, Hamid Reza Maei, Doina Precup, Shalabh Bhatnagar, David Silver, Csaba Szepesvri, Eric Wiewiora
2009	ISRR	Perceptual Interpretation for Autonomous Navigation through Dynamic Imitation Learning.	David Silver, J. Andrew Bagnell, Anthony Stentz
2008	AAAI	Achieving Master Level Play in 9 x 9 Computer Go.	Sylvain Gelly, David Silver
2008	ICML	Sample-based learning and search with permanent and transient memories.	David Silver, Richard S. Sutton, Martin Mller
2007	ICML	Combining online and offline knowledge in UCT.	Sylvain Gelly, David Silver
2007	ICML	On the role of tracking in stationary environments.	Richard S. Sutton, Anna Koop, David Silver
2007	IJCAI	Reinforcement Learning of Local Shape in the Game of Go.	David Silver, Richard S. Sutton, Martin Mller
2006	IROS	Experimental Analysis of Overhead Data Processing To Support Long Range Navigation.	David Silver, Boris Sofman, Nicolas Vandapel, J. Andrew Bagnell, Anthony Stentz
2005	ICRA	Towards Topological Exploration of Abandoned Mines.	Aaron Morris, David Silver, David I. Ferguson, Scott Thayer
2004	IROS	Feature extraction for topological mine maps.	David Silver, Dave Ferguson, Aaron Morris, Scott Thayer
2004	ICRA	Arc Carving: Obtaining Accurate, Low Latency Maps from Ultrasonic Range Sensors.	David Silver, Deryck Morales, Ioannis M. Rekleitis, Brad Lisien, Howie Choset
2003	IROS	Hierarchical simultaneous localization and mapping.	Brad Lisien, Deryck Morales, David Silver, George Kantor, Ioannis M. Rekleitis, Howie Choset