Timezone: »
Planning problems are among the most important and well-studied problems in artificial intelligence. They are most typically solved by tree search algorithms that simulate ahead into the future, evaluate future states, and back-up those evaluations to the root of a search tree. Among these algorithms, Monte-Carlo tree search (MCTS) is one of the most general, powerful and widely used. A typical implementation of MCTS uses cleverly designed rules, optimised to the particular characteristics of the domain. These rules control where the simulation traverses, what to evaluate in the states that are reached, and how to back-up those evaluations. In this paper we instead learn where, what and how to search. Our architecture, which we call an MCTSnet, incorporates simulation-based search inside a neural network, by expanding, evaluating and backing-up a vector embedding. The parameters of the network are trained end-to-end using gradient-based optimisation. When applied to small searches in the well-known planning problem Sokoban, the learned search algorithm significantly outperformed MCTS baselines.
Author Information
Arthur Guez (Google DeepMind)
Theophane Weber (DeepMind)
Ioannis Antonoglou (Deepmind)
Karen Simonyan (DeepMind)
Oriol Vinyals (DeepMind)
Oriol Vinyals is a Research Scientist at Google. He works in deep learning with the Google Brain team. Oriol holds a Ph.D. in EECS from University of California, Berkeley, and a Masters degree from University of California, San Diego. He is a recipient of the 2011 Microsoft Research PhD Fellowship. He was an early adopter of the new deep learning wave at Berkeley, and in his thesis he focused on non-convex optimization and recurrent neural networks. At Google Brain he continues working on his areas of interest, which include artificial intelligence, with particular emphasis on machine learning, language, and vision.
Daan Wierstra (Google DeepMind)
Remi Munos (DeepMind)
David Silver (Google DeepMind)
Related Events (a corresponding poster, oral, or spotlight)
-
2018 Poster: Learning to search with MCTSnets »
Wed. Jul 11th 04:15 -- 07:00 PM Room Hall B #92
More from the Same Authors
-
2022 : Learning to induce causal structure »
Rosemary Nan Ke · Silvia Chiappa · Jane Wang · Jorg Bornschein · Anirudh Goyal · Melanie Rey · Matthew Botvinick · Theophane Weber · Michael Mozer · Danilo J. Rezende -
2023 Poster: Understanding Self-Predictive Learning for Reinforcement Learning »
Yunhao Tang · Zhaohan Guo · Pierre Richemond · Bernardo Avila Pires · Yash Chandak · Remi Munos · Mark Rowland · Mohammad Gheshlaghi Azar · Charline Le Lan · Clare Lyle · Andras Gyorgy · Shantanu Thakoor · Will Dabney · Bilal Piot · Daniele Calandriello · Michal Valko -
2023 Poster: Curiosity in Hindsight: Intrinsic Exploration in Stochastic Environments »
Daniel Jarrett · Corentin Tallec · Florent Altché · Thomas Mesnard · Remi Munos · Michal Valko -
2023 Poster: Representations and Exploration for Deep Reinforcement Learning using Singular Value Decomposition »
Yash Chandak · Shantanu Thakoor · Zhaohan Guo · Yunhao Tang · Remi Munos · Will Dabney · Diana Borsa -
2023 Poster: Towards a better understanding of representation dynamics under TD-learning »
Yunhao Tang · Remi Munos -
2023 Oral: Adapting to game trees in zero-sum imperfect information games »
Côme Fiegel · Pierre Menard · Tadashi Kozuno · Remi Munos · Vianney Perchet · Michal Valko -
2023 Poster: Adapting to game trees in zero-sum imperfect information games »
Côme Fiegel · Pierre Menard · Tadashi Kozuno · Remi Munos · Vianney Perchet · Michal Valko -
2023 Poster: Fast Rates for Maximum Entropy Exploration »
Daniil Tiapkin · Denis Belomestny · Daniele Calandriello · Eric Moulines · Remi Munos · Alexey Naumov · Pierre Perrault · Yunhao Tang · Michal Valko · Pierre Menard -
2023 Oral: 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 · Remi Munos -
2023 Poster: The Statistical Benefits of Quantile Temporal-Difference Learning for Value Estimation »
Mark Rowland · Yunhao Tang · Clare Lyle · Remi Munos · Marc Bellemare · Will Dabney -
2023 Poster: Investigating the Role of Model-Based Learning in Exploration and Transfer »
Jacob C Walker · Eszter Vértes · Yazhe Li · Gabriel Dulac-Arnold · Ankesh Anand · Theophane Weber · Jessica Hamrick -
2023 Poster: 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 · Remi Munos -
2023 Poster: DoMo-AC: Doubly Multi-step Off-policy Actor-Critic Algorithm »
Yunhao Tang · Tadashi Kozuno · Mark Rowland · Anna Harutyunyan · Remi Munos · Bernardo Avila Pires · Michal Valko -
2023 Poster: VA-learning as a more efficient alternative to Q-learning »
Yunhao Tang · Remi Munos · Mark Rowland · Michal Valko -
2023 Poster: Regularization and Variance-Weighted Regression Achieves Minimax Optimality in Linear MDPs: Theory and Practice »
Toshinori Kitamura · Tadashi Kozuno · Yunhao Tang · Nino Vieillard · Michal Valko · Wenhao Yang · Jincheng Mei · Pierre Menard · Mohammad Gheshlaghi Azar · Remi Munos · Olivier Pietquin · Matthieu Geist · Csaba Szepesvari · Wataru Kumagai · Yutaka Matsuo -
2022 : Chinchillas, Flamingos, and Gatos: Few-Shot Learning through Pre-training »
Oriol Vinyals -
2022 Poster: Retrieval-Augmented Reinforcement Learning »
Anirudh Goyal · Abe Friesen Friesen · Andrea Banino · Theophane Weber · Nan Rosemary Ke · Adrià Puigdomenech Badia · Arthur Guez · Mehdi Mirza · Peter Humphreys · Ksenia Konyushkova · Michal Valko · Simon Osindero · Timothy Lillicrap · Nicolas Heess · Charles Blundell -
2022 Poster: Generalised Policy Improvement with Geometric Policy Composition »
Shantanu Thakoor · Mark Rowland · Diana Borsa · Will Dabney · Remi Munos · Andre Barreto -
2022 Poster: General-purpose, long-context autoregressive modeling with Perceiver AR »
Curtis Hawthorne · Drew Jaegle · Cătălina Cangea · Sebastian Borgeaud · Charlie Nash · Mateusz Malinowski · Sander Dieleman · Oriol Vinyals · Matthew Botvinick · Ian Simon · Hannah Sheahan · Neil Zeghidour · Jean-Baptiste Alayrac · Joao Carreira · Jesse Engel -
2022 Spotlight: Retrieval-Augmented Reinforcement Learning »
Anirudh Goyal · Abe Friesen Friesen · Andrea Banino · Theophane Weber · Nan Rosemary Ke · Adrià Puigdomenech Badia · Arthur Guez · Mehdi Mirza · Peter Humphreys · Ksenia Konyushkova · Michal Valko · Simon Osindero · Timothy Lillicrap · Nicolas Heess · Charles Blundell -
2022 Oral: Generalised Policy Improvement with Geometric Policy Composition »
Shantanu Thakoor · Mark Rowland · Diana Borsa · Will Dabney · Remi Munos · Andre Barreto -
2022 Spotlight: General-purpose, long-context autoregressive modeling with Perceiver AR »
Curtis Hawthorne · Drew Jaegle · Cătălina Cangea · Sebastian Borgeaud · Charlie Nash · Mateusz Malinowski · Sander Dieleman · Oriol Vinyals · Matthew Botvinick · Ian Simon · Hannah Sheahan · Neil Zeghidour · Jean-Baptiste Alayrac · Joao Carreira · Jesse Engel -
2022 Poster: Improving Language Models by Retrieving from Trillions of Tokens »
Sebastian Borgeaud · Arthur Mensch · Jordan Hoffmann · Trevor Cai · Eliza Rutherford · Katie Millican · George van den Driessche · Jean-Baptiste Lespiau · Bogdan Damoc · Aidan Clark · Diego de Las Casas · Aurelia Guy · Jacob Menick · Roman Ring · Tom Hennigan · Saffron Huang · Loren Maggiore · Chris Jones · Albin Cassirer · Andy Brock · Michela Paganini · Geoffrey Irving · Oriol Vinyals · Simon Osindero · Karen Simonyan · Jack Rae · Erich Elsen · Laurent Sifre -
2022 Poster: Unified Scaling Laws for Routed Language Models »
Aidan Clark · Diego de Las Casas · Aurelia Guy · Arthur Mensch · Michela Paganini · Jordan Hoffmann · Bogdan Damoc · Blake Hechtman · Trevor Cai · Sebastian Borgeaud · George van den Driessche · Eliza Rutherford · Tom Hennigan · Matthew Johnson · Albin Cassirer · Chris Jones · Elena Buchatskaya · David Budden · Laurent Sifre · Simon Osindero · Oriol Vinyals · Marc'Aurelio Ranzato · Jack Rae · Erich Elsen · Koray Kavukcuoglu · Karen Simonyan -
2022 Spotlight: Improving Language Models by Retrieving from Trillions of Tokens »
Sebastian Borgeaud · Arthur Mensch · Jordan Hoffmann · Trevor Cai · Eliza Rutherford · Katie Millican · George van den Driessche · Jean-Baptiste Lespiau · Bogdan Damoc · Aidan Clark · Diego de Las Casas · Aurelia Guy · Jacob Menick · Roman Ring · Tom Hennigan · Saffron Huang · Loren Maggiore · Chris Jones · Albin Cassirer · Andy Brock · Michela Paganini · Geoffrey Irving · Oriol Vinyals · Simon Osindero · Karen Simonyan · Jack Rae · Erich Elsen · Laurent Sifre -
2022 Oral: Unified Scaling Laws for Routed Language Models »
Aidan Clark · Diego de Las Casas · Aurelia Guy · Arthur Mensch · Michela Paganini · Jordan Hoffmann · Bogdan Damoc · Blake Hechtman · Trevor Cai · Sebastian Borgeaud · George van den Driessche · Eliza Rutherford · Tom Hennigan · Matthew Johnson · Albin Cassirer · Chris Jones · Elena Buchatskaya · David Budden · Laurent Sifre · Simon Osindero · Oriol Vinyals · Marc'Aurelio Ranzato · Jack Rae · Erich Elsen · Koray Kavukcuoglu · Karen Simonyan -
2021 Poster: High-Performance Large-Scale Image Recognition Without Normalization »
Andy Brock · Soham De · Samuel Smith · Karen Simonyan -
2021 Spotlight: High-Performance Large-Scale Image Recognition Without Normalization »
Andy Brock · Soham De · Samuel Smith · Karen Simonyan -
2021 Poster: Vector Quantized Models for Planning »
Sherjil Ozair · Yazhe Li · Ali Razavi · Ioannis Antonoglou · Aäron van den Oord · Oriol Vinyals -
2021 Poster: Counterfactual Credit Assignment in Model-Free Reinforcement Learning »
Thomas Mesnard · Theophane Weber · Fabio Viola · Shantanu Thakoor · Alaa Saade · Anna Harutyunyan · Will Dabney · Thomas Stepleton · Nicolas Heess · Arthur Guez · Eric Moulines · Marcus Hutter · Lars Buesing · Remi Munos -
2021 Poster: Perceiver: General Perception with Iterative Attention »
Drew Jaegle · Felix Axel Gimeno Gil · Andy Brock · Oriol Vinyals · Andrew Zisserman · Joao Carreira -
2021 Poster: Learning and Planning in Complex Action Spaces »
Thomas Hubert · Julian Schrittwieser · Ioannis Antonoglou · Mohammadamin Barekatain · Simon Schmitt · David Silver -
2021 Poster: 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 Spotlight: Vector Quantized Models for Planning »
Sherjil Ozair · Yazhe Li · Ali Razavi · Ioannis Antonoglou · Aäron van den Oord · Oriol Vinyals -
2021 Spotlight: Counterfactual Credit Assignment in Model-Free Reinforcement Learning »
Thomas Mesnard · Theophane Weber · Fabio Viola · Shantanu Thakoor · Alaa Saade · Anna Harutyunyan · Will Dabney · Thomas Stepleton · Nicolas Heess · Arthur Guez · Eric Moulines · Marcus Hutter · Lars Buesing · Remi Munos -
2021 Spotlight: Learning and Planning in Complex Action Spaces »
Thomas Hubert · Julian Schrittwieser · Ioannis Antonoglou · Mohammadamin Barekatain · Simon Schmitt · David Silver -
2021 Spotlight: Perceiver: General Perception with Iterative Attention »
Drew Jaegle · Felix Axel Gimeno Gil · Andy Brock · Oriol Vinyals · Andrew Zisserman · Joao Carreira -
2021 Spotlight: 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 -
2020 : QA for invited talk 1 Silver »
David Silver -
2020 : Invited talk 1 Silver »
David Silver -
2020 Workshop: Inductive Biases, Invariances and Generalization in Reinforcement Learning »
Anirudh Goyal · Rosemary Nan Ke · Jane Wang · Stefan Bauer · Theophane Weber · Fabio Viola · Bernhard Schölkopf · Stefan Bauer -
2020 Poster: Off-Policy Actor-Critic with Shared Experience Replay »
Simon Schmitt · Matteo Hessel · Karen Simonyan -
2020 Poster: Monte-Carlo Tree Search as Regularized Policy Optimization »
Jean-Bastien Grill · Florent Altché · Yunhao Tang · Thomas Hubert · Michal Valko · Ioannis Antonoglou · Remi Munos -
2020 Poster: What Can Learned Intrinsic Rewards Capture? »
Zeyu Zheng · Junhyuk Oh · Matteo Hessel · Zhongwen Xu · Manuel Kroiss · Hado van Hasselt · David Silver · Satinder Singh -
2019 : panel discussion with Craig Boutilier (Google Research), Emma Brunskill (Stanford), Chelsea Finn (Google Brain, Stanford, UC Berkeley), Mohammad Ghavamzadeh (Facebook AI), John Langford (Microsoft Research) and David Silver (Deepmind) »
Peter Stone · Craig Boutilier · Emma Brunskill · Chelsea Finn · John Langford · David Silver · Mohammad Ghavamzadeh -
2019 : invited talk by David Silver (Deepmind): AlphaStar: Mastering the Game of StarCraft II »
David Silver -
2019 Poster: Statistics and Samples in Distributional Reinforcement Learning »
Mark Rowland · Robert Dadashi · Saurabh Kumar · Remi Munos · Marc Bellemare · Will Dabney -
2019 Oral: Statistics and Samples in Distributional Reinforcement Learning »
Mark Rowland · Robert Dadashi · Saurabh Kumar · Remi Munos · Marc Bellemare · Will Dabney -
2019 Poster: An Investigation of Model-Free Planning »
Arthur Guez · Mehdi Mirza · Karol Gregor · Rishabh Kabra · Sebastien Racaniere · Theophane Weber · David Raposo · Adam Santoro · Laurent Orseau · Tom Eccles · Greg Wayne · David Silver · Timothy Lillicrap -
2019 Poster: Graph Matching Networks for Learning the Similarity of Graph Structured Objects »
Yujia Li · Chenjie Gu · Thomas Dullien · Oriol Vinyals · Pushmeet Kohli -
2019 Oral: Graph Matching Networks for Learning the Similarity of Graph Structured Objects »
Yujia Li · Chenjie Gu · Thomas Dullien · Oriol Vinyals · Pushmeet Kohli -
2019 Oral: An Investigation of Model-Free Planning »
Arthur Guez · Mehdi Mirza · Karol Gregor · Rishabh Kabra · Sebastien Racaniere · Theophane Weber · David Raposo · Adam Santoro · Laurent Orseau · Tom Eccles · Greg Wayne · David Silver · Timothy Lillicrap -
2018 Poster: The Uncertainty Bellman Equation and Exploration »
Brendan O'Donoghue · Ian Osband · Remi Munos · Vlad Mnih -
2018 Poster: IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures »
Lasse Espeholt · Hubert Soyer · Remi Munos · Karen Simonyan · Vlad Mnih · Tom Ward · Yotam Doron · Vlad Firoiu · Tim Harley · Iain Dunning · Shane Legg · Koray Kavukcuoglu -
2018 Poster: Parallel WaveNet: Fast High-Fidelity Speech Synthesis »
Aäron van den Oord · Yazhe Li · Igor Babuschkin · Karen Simonyan · Oriol Vinyals · Koray Kavukcuoglu · George van den Driessche · Edward Lockhart · Luis C Cobo · Florian Stimberg · Norman Casagrande · Dominik Grewe · Seb Noury · Sander Dieleman · Erich Elsen · Nal Kalchbrenner · Heiga Zen · Alex Graves · Helen King · Tom Walters · Dan Belov · Demis Hassabis -
2018 Poster: Efficient Neural Audio Synthesis »
Nal Kalchbrenner · Erich Elsen · Karen Simonyan · Seb Noury · Norman Casagrande · Edward Lockhart · Florian Stimberg · Aäron van den Oord · Sander Dieleman · Koray Kavukcuoglu -
2018 Poster: Autoregressive Quantile Networks for Generative Modeling »
Georg Ostrovski · Will Dabney · Remi Munos -
2018 Oral: The Uncertainty Bellman Equation and Exploration »
Brendan O'Donoghue · Ian Osband · Remi Munos · Vlad Mnih -
2018 Oral: Autoregressive Quantile Networks for Generative Modeling »
Georg Ostrovski · Will Dabney · Remi Munos -
2018 Oral: Parallel WaveNet: Fast High-Fidelity Speech Synthesis »
Aäron van den Oord · Yazhe Li · Igor Babuschkin · Karen Simonyan · Oriol Vinyals · Koray Kavukcuoglu · George van den Driessche · Edward Lockhart · Luis C Cobo · Florian Stimberg · Norman Casagrande · Dominik Grewe · Seb Noury · Sander Dieleman · Erich Elsen · Nal Kalchbrenner · Heiga Zen · Alex Graves · Helen King · Tom Walters · Dan Belov · Demis Hassabis -
2018 Oral: Efficient Neural Audio Synthesis »
Nal Kalchbrenner · Erich Elsen · Karen Simonyan · Seb Noury · Norman Casagrande · Edward Lockhart · Florian Stimberg · Aäron van den Oord · Sander Dieleman · Koray Kavukcuoglu -
2018 Oral: IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures »
Lasse Espeholt · Hubert Soyer · Remi Munos · Karen Simonyan · Vlad Mnih · Tom Ward · Yotam Doron · Vlad Firoiu · Tim Harley · Iain Dunning · Shane Legg · Koray Kavukcuoglu -
2018 Poster: Synthesizing Programs for Images using Reinforced Adversarial Learning »
Iaroslav Ganin · Tejas Kulkarni · Igor Babuschkin · S. M. Ali Eslami · Oriol Vinyals -
2018 Oral: Synthesizing Programs for Images using Reinforced Adversarial Learning »
Iaroslav Ganin · Tejas Kulkarni · Igor Babuschkin · S. M. Ali Eslami · Oriol Vinyals -
2018 Poster: Transfer in Deep Reinforcement Learning Using Successor Features and Generalised Policy Improvement »
Andre Barreto · Diana Borsa · John Quan · Tom Schaul · David Silver · Matteo Hessel · Daniel J. Mankowitz · Augustin Zidek · Remi Munos -
2018 Poster: Learning Implicit Generative Models with the Method of Learned Moments »
Suman Ravuri · Shakir Mohamed · Mihaela Rosca · Oriol Vinyals -
2018 Poster: Implicit Quantile Networks for Distributional Reinforcement Learning »
Will Dabney · Georg Ostrovski · David Silver · Remi Munos -
2018 Oral: Transfer in Deep Reinforcement Learning Using Successor Features and Generalised Policy Improvement »
Andre Barreto · Diana Borsa · John Quan · Tom Schaul · David Silver · Matteo Hessel · Daniel J. Mankowitz · Augustin Zidek · Remi Munos -
2018 Oral: Learning Implicit Generative Models with the Method of Learned Moments »
Suman Ravuri · Shakir Mohamed · Mihaela Rosca · Oriol Vinyals -
2018 Oral: Implicit Quantile Networks for Distributional Reinforcement Learning »
Will Dabney · Georg Ostrovski · David Silver · Remi Munos -
2017 Workshop: Video Games and Machine Learning »
Gabriel Synnaeve · Julian Togelius · Tom Schaul · Oriol Vinyals · Nicolas Usunier -
2017 Poster: Neural Message Passing for Quantum Chemistry »
Justin Gilmer · Samuel Schoenholz · Patrick F Riley · Oriol Vinyals · George Dahl -
2017 Poster: FeUdal Networks for Hierarchical Reinforcement Learning »
Alexander Vezhnevets · Simon Osindero · Tom Schaul · Nicolas Heess · Max Jaderberg · David Silver · Koray Kavukcuoglu -
2017 Poster: 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 Reichert · Neil Rabinowitz · Andre Barreto · Thomas Degris -
2017 Poster: Neural Episodic Control »
Alexander Pritzel · Benigno Uria · Srinivasan Sriram · Adrià Puigdomenech Badia · Oriol Vinyals · Demis Hassabis · Daan Wierstra · Charles Blundell -
2017 Poster: Count-Based Exploration with Neural Density Models »
Georg Ostrovski · Marc Bellemare · Aäron van den Oord · Remi Munos -
2017 Talk: Neural Message Passing for Quantum Chemistry »
Justin Gilmer · Samuel Schoenholz · Patrick F Riley · Oriol Vinyals · George Dahl -
2017 Talk: Neural Episodic Control »
Alexander Pritzel · Benigno Uria · Srinivasan Sriram · Adrià Puigdomenech Badia · Oriol Vinyals · Demis Hassabis · Daan Wierstra · Charles Blundell -
2017 Talk: FeUdal Networks for Hierarchical Reinforcement Learning »
Alexander Vezhnevets · Simon Osindero · Tom Schaul · Nicolas Heess · Max Jaderberg · David Silver · Koray Kavukcuoglu -
2017 Talk: 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 Reichert · Neil Rabinowitz · Andre Barreto · Thomas Degris -
2017 Talk: Count-Based Exploration with Neural Density Models »
Georg Ostrovski · Marc Bellemare · Aäron van den Oord · Remi Munos -
2017 Poster: A Distributional Perspective on Reinforcement Learning »
Marc Bellemare · Will Dabney · Remi Munos -
2017 Poster: Neural Audio Synthesis of Musical Notes with WaveNet Autoencoders »
Cinjon Resnick · Adam Roberts · Jesse Engel · Douglas Eck · Sander Dieleman · Karen Simonyan · Mohammad Norouzi -
2017 Talk: Neural Audio Synthesis of Musical Notes with WaveNet Autoencoders »
Cinjon Resnick · Adam Roberts · Jesse Engel · Douglas Eck · Sander Dieleman · Karen Simonyan · Mohammad Norouzi -
2017 Poster: Decoupled Neural Interfaces using Synthetic Gradients »
Max Jaderberg · Wojciech Czarnecki · Simon Osindero · Oriol Vinyals · Alex Graves · David Silver · Koray Kavukcuoglu -
2017 Poster: Automated Curriculum Learning for Neural Networks »
Alex Graves · Marc Bellemare · Jacob Menick · Remi Munos · Koray Kavukcuoglu -
2017 Poster: Understanding Synthetic Gradients and Decoupled Neural Interfaces »
Wojciech Czarnecki · Grzegorz Świrszcz · Max Jaderberg · Simon Osindero · Oriol Vinyals · Koray Kavukcuoglu -
2017 Poster: Video Pixel Networks »
Nal Kalchbrenner · Karen Simonyan · Aäron van den Oord · Ivo Danihelka · Oriol Vinyals · Alex Graves · Koray Kavukcuoglu -
2017 Poster: Minimax Regret Bounds for Reinforcement Learning »
Mohammad Gheshlaghi Azar · Ian Osband · Remi Munos -
2017 Talk: A Distributional Perspective on Reinforcement Learning »
Marc Bellemare · Will Dabney · Remi Munos -
2017 Talk: Automated Curriculum Learning for Neural Networks »
Alex Graves · Marc Bellemare · Jacob Menick · Remi Munos · Koray Kavukcuoglu -
2017 Talk: Video Pixel Networks »
Nal Kalchbrenner · Karen Simonyan · Aäron van den Oord · Ivo Danihelka · Oriol Vinyals · Alex Graves · Koray Kavukcuoglu -
2017 Talk: Understanding Synthetic Gradients and Decoupled Neural Interfaces »
Wojciech Czarnecki · Grzegorz Świrszcz · Max Jaderberg · Simon Osindero · Oriol Vinyals · Koray Kavukcuoglu -
2017 Talk: Minimax Regret Bounds for Reinforcement Learning »
Mohammad Gheshlaghi Azar · Ian Osband · Remi Munos -
2017 Talk: Decoupled Neural Interfaces using Synthetic Gradients »
Max Jaderberg · Wojciech Czarnecki · Simon Osindero · Oriol Vinyals · Alex Graves · David Silver · Koray Kavukcuoglu -
2017 Tutorial: Sequence-To-Sequence Modeling with Neural Networks »
Oriol Vinyals · Navdeep Jaitly