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Greg Wayne
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Books and Theses
- 2013
- [b1]Gregory Wayne:
Self-Modeling Neural Systems. Columbia University, USA, 2013
Journal Articles
- 2020
- [j5]Josh Merel, Saran Tunyasuvunakool
, Arun Ahuja, Yuval Tassa, Leonard Hasenclever, Vu Pham, Tom Erez, Greg Wayne, Nicolas Heess:
Catch & Carry: reusable neural controllers for vision-guided whole-body tasks. ACM Trans. Graph. 39(4): 39 (2020) - 2018
- [j4]Andrea Banino, Caswell Barry
, Benigno Uria, Charles Blundell, Timothy P. Lillicrap, Piotr Mirowski, Alexander Pritzel, Martin J. Chadwick, Thomas Degris, Joseph Modayil, Greg Wayne, Hubert Soyer, Fabio Viola, Brian Zhang, Ross Goroshin, Neil C. Rabinowitz
, Razvan Pascanu, Charlie Beattie
, Stig Petersen, Amir Sadik, Stephen Gaffney, Helen King, Koray Kavukcuoglu, Demis Hassabis, Raia Hadsell, Dharshan Kumaran:
Vector-based navigation using grid-like representations in artificial agents. Nat. 557(7705): 429-433 (2018) - 2016
- [j3]Adam H. Marblestone, Greg Wayne, Konrad P. Körding
:
Toward an Integration of Deep Learning and Neuroscience. Frontiers Comput. Neurosci. 10: 94 (2016) - [j2]Alex Graves, Greg Wayne, Malcolm Reynolds, Tim Harley, Ivo Danihelka, Agnieszka Grabska-Barwinska, Sergio Gomez Colmenarejo, Edward Grefenstette, Tiago Ramalho, John P. Agapiou
, Adrià Puigdomènech Badia, Karl Moritz Hermann, Yori Zwols, Georg Ostrovski, Adam Cain, Helen King, Christopher Summerfield, Phil Blunsom, Koray Kavukcuoglu, Demis Hassabis:
Hybrid computing using a neural network with dynamic external memory. Nat. 538(7626): 471-476 (2016) - 2014
- [j1]Greg Wayne, L. F. Abbott:
Hierarchical Control Using Networks Trained with Higher-Level Forward Models. Neural Comput. 26(10): 2163-2193 (2014)
Conference and Workshop Papers
- 2023
- [c18]Alexander Meulemans, Simon Schug, Seijin Kobayashi, Nathaniel Daw, Gregory Wayne:
Would I have gotten that reward? Long-term credit assignment by counterfactual contribution analysis. NeurIPS 2023 - 2022
- [c17]Chen Yan, Federico Carnevale, Petko Georgiev, Adam Santoro, Aurelia Guy, Alistair Muldal, Chia-Chun Hung, Josh Abramson, Timothy P. Lillicrap, Gregory Wayne:
Intra-agent speech permits zero-shot task acquisition. NeurIPS 2022 - 2021
- [c16]Andrew Jaegle, Yury Sulsky, Arun Ahuja, Jake Bruce, Rob Fergus, Greg Wayne:
Imitation by Predicting Observations. ICML 2021: 4665-4676 - 2020
- [c15]Josh Merel, Diego Aldarondo, Jesse Marshall, Yuval Tassa, Greg Wayne, Bence Olveczky:
Deep neuroethology of a virtual rodent. ICLR 2020 - [c14]Abhishek Das, Federico Carnevale, Hamza Merzic, Laura Rimell, Rosalia Schneider, Josh Abramson, Alden Hung, Arun Ahuja, Stephen Clark, Greg Wayne, Felix Hill:
Probing Emergent Semantics in Predictive Agents via Question Answering. ICML 2020: 2376-2391 - [c13]David Budden, Adam H. Marblestone, Eren Sezener, Tor Lattimore, Gregory Wayne, Joel Veness:
Gaussian Gated Linear Networks. NeurIPS 2020 - 2019
- [c12]Josh Merel, Arun Ahuja, Vu Pham, Saran Tunyasuvunakool, Siqi Liu, Dhruva Tirumala, Nicolas Heess, Greg Wayne:
Hierarchical Visuomotor Control of Humanoids. ICLR (Poster) 2019 - [c11]Josh Merel, Leonard Hasenclever, Alexandre Galashov, Arun Ahuja, Vu Pham, Greg Wayne, Yee Whye Teh, Nicolas Heess:
Neural Probabilistic Motor Primitives for Humanoid Control. ICLR (Poster) 2019 - [c10]Arthur Guez, Mehdi Mirza, Karol Gregor, Rishabh Kabra, Sébastien Racanière, Theophane Weber, David Raposo, Adam Santoro, Laurent Orseau, Tom Eccles, Greg Wayne, David Silver, Timothy P. Lillicrap:
An Investigation of Model-Free Planning. ICML 2019: 2464-2473 - [c9]David Rolnick, Arun Ahuja, Jonathan Schwarz, Timothy P. Lillicrap, Gregory Wayne:
Experience Replay for Continual Learning. NeurIPS 2019: 348-358 - [c8]Ben Deverett, Ryan Faulkner, Meire Fortunato, Gregory Wayne, Joel Z. Leibo
:
Interval timing in deep reinforcement learning agents. NeurIPS 2019: 6686-6695 - [c7]Anna Harutyunyan, Will Dabney, Thomas Mesnard, Mohammad Gheshlaghi Azar, Bilal Piot, Nicolas Heess, Hado van Hasselt, Gregory Wayne, Satinder Singh, Doina Precup, Rémi Munos:
Hindsight Credit Assignment. NeurIPS 2019: 12467-12476 - 2018
- [c6]Yan Wu, Greg Wayne, Alex Graves, Timothy P. Lillicrap:
The Kanerva Machine: A Generative Distributed Memory. ICLR (Poster) 2018 - [c5]Yan Wu, Gregory Wayne, Karol Gregor, Timothy P. Lillicrap:
Learning Attractor Dynamics for Generative Memory. NeurIPS 2018: 9401-9410 - 2017
- [c4]Ziyu Wang, Josh Merel, Scott E. Reed, Nando de Freitas, Gregory Wayne, Nicolas Heess:
Robust Imitation of Diverse Behaviors. NIPS 2017: 5320-5329 - 2016
- [c3]Ivo Danihelka, Greg Wayne, Benigno Uria, Nal Kalchbrenner, Alex Graves:
Associative Long Short-Term Memory. ICML 2016: 1986-1994 - [c2]Jack W. Rae, Jonathan J. Hunt, Ivo Danihelka, Timothy Harley, Andrew W. Senior, Gregory Wayne, Alex Graves, Tim Lillicrap:
Scaling Memory-Augmented Neural Networks with Sparse Reads and Writes. NIPS 2016: 3621-3629 - 2015
- [c1]Nicolas Heess, Gregory Wayne, David Silver, Timothy P. Lillicrap, Tom Erez, Yuval Tassa:
Learning Continuous Control Policies by Stochastic Value Gradients. NIPS 2015: 2944-2952
Editorship
- 2016
- [e1]Tarek Richard Besold, Antoine Bordes, Artur S. d'Avila Garcez, Greg Wayne:
Proceedings of the Workshop on Cognitive Computation: Integrating neural and symbolic approaches 2016 co-located with the 30th Annual Conference on Neural Information Processing Systems (NIPS 2016), Barcelona, Spain, December 9, 2016. CEUR Workshop Proceedings 1773, CEUR-WS.org 2016 [contents]
Informal and Other Publications
- 2023
- [i34]Alexander Meulemans, Simon Schug, Seijin Kobayashi, Nathaniel Daw, Gregory Wayne:
Would I have gotten that reward? Long-term credit assignment by counterfactual contribution analysis. CoRR abs/2306.16803 (2023) - 2022
- [i33]Josh Abramson, Arun Ahuja, Federico Carnevale, Petko Georgiev, Alex Goldin, Alden Hung, Jessica Landon, Timothy P. Lillicrap, Alistair Muldal, Blake A. Richards, Adam Santoro, Tamara von Glehn, Greg Wayne, Nathaniel Wong, Chen Yan:
Evaluating Multimodal Interactive Agents. CoRR abs/2205.13274 (2022) - [i32]Chen Yan, Federico Carnevale, Petko Georgiev, Adam Santoro, Aurelia Guy, Alistair Muldal, Chia-Chun Hung, Josh Abramson, Timothy P. Lillicrap, Gregory Wayne:
Intra-agent speech permits zero-shot task acquisition. CoRR abs/2206.03139 (2022) - [i31]Josh Abramson, Arun Ahuja, Federico Carnevale, Petko Georgiev, Alex Goldin, Alden Hung, Jessica Landon, Jirka Lhotka, Timothy P. Lillicrap, Alistair Muldal, George Powell, Adam Santoro, Guy Scully, Sanjana Srivastava, Tamara von Glehn, Greg Wayne, Nathaniel Wong, Chen Yan, Rui Zhu:
Improving Multimodal Interactive Agents with Reinforcement Learning from Human Feedback. CoRR abs/2211.11602 (2022) - 2021
- [i30]David Raposo, Samuel Ritter, Adam Santoro, Greg Wayne, Theophane Weber, Matt M. Botvinick, Hado van Hasselt, H. Francis Song:
Synthetic Returns for Long-Term Credit Assignment. CoRR abs/2102.12425 (2021) - [i29]Andrew Jaegle, Yury Sulsky, Arun Ahuja, Jake Bruce, Rob Fergus, Greg Wayne:
Imitation by Predicting Observations. CoRR abs/2107.03851 (2021) - [i28]Josh Abramson, Arun Ahuja, Arthur Brussee, Federico Carnevale, Mary Cassin, Felix Fischer, Petko Georgiev, Alex Goldin, Tim Harley, Felix Hill, Peter Conway Humphreys, Alden Hung, Jessica Landon, Timothy P. Lillicrap, Hamza Merzic, Alistair Muldal, Adam Santoro, Guy Scully, Tamara von Glehn, Greg Wayne, Nathaniel Wong, Chen Yan, Rui Zhu:
Creating Multimodal Interactive Agents with Imitation and Self-Supervised Learning. CoRR abs/2112.03763 (2021) - 2020
- [i27]Adam H. Marblestone, Yan Wu, Greg Wayne:
Product Kanerva Machines: Factorized Bayesian Memory. CoRR abs/2002.02385 (2020) - [i26]Abhishek Das, Federico Carnevale, Hamza Merzic, Laura Rimell, Rosalia Schneider, Josh Abramson, Alden Hung, Arun Ahuja, Stephen Clark, Gregory Wayne, Felix Hill:
Probing Emergent Semantics in Predictive Agents via Question Answering. CoRR abs/2006.01016 (2020) - [i25]David Budden, Adam H. Marblestone, Eren Sezener, Tor Lattimore, Greg Wayne, Joel Veness:
Gaussian Gated Linear Networks. CoRR abs/2006.05964 (2020) - [i24]Josh Abramson, Arun Ahuja, Arthur Brussee, Federico Carnevale, Mary Cassin, Stephen Clark, Andrew Dudzik, Petko Georgiev, Aurelia Guy, Tim Harley, Felix Hill, Alden Hung, Zachary Kenton, Jessica Landon, Timothy P. Lillicrap, Kory W. Mathewson, Alistair Muldal, Adam Santoro, Nikolay Savinov, Vikrant Varma, Greg Wayne, Nathaniel Wong, Chen Yan, Rui Zhu:
Imitating Interactive Intelligence. CoRR abs/2012.05672 (2020) - 2019
- [i23]Arthur Guez, Mehdi Mirza, Karol Gregor, Rishabh Kabra, Sébastien Racanière, Théophane Weber, David Raposo, Adam Santoro, Laurent Orseau, Tom Eccles, Greg Wayne, David Silver, Timothy P. Lillicrap:
An investigation of model-free planning. CoRR abs/1901.03559 (2019) - [i22]Dhruva Tirumala, Hyeonwoo Noh, Alexandre Galashov, Leonard Hasenclever, Arun Ahuja, Greg Wayne, Razvan Pascanu, Yee Whye Teh, Nicolas Heess:
Exploiting Hierarchy for Learning and Transfer in KL-regularized RL. CoRR abs/1903.07438 (2019) - [i21]Ben Deverett, Ryan Faulkner, Meire Fortunato, Greg Wayne, Joel Z. Leibo:
Interval timing in deep reinforcement learning agents. CoRR abs/1905.13469 (2019) - [i20]Josh Merel, Saran Tunyasuvunakool, Arun Ahuja, Yuval Tassa, Leonard Hasenclever, Vu Pham, Tom Erez, Greg Wayne, Nicolas Heess:
Reusable neural skill embeddings for vision-guided whole body movement and object manipulation. CoRR abs/1911.06636 (2019) - [i19]Anna Harutyunyan, Will Dabney, Thomas Mesnard, Mohammad Gheshlaghi Azar, Bilal Piot, Nicolas Heess, Hado van Hasselt, Greg Wayne, Satinder Singh, Doina Precup, Rémi Munos:
Hindsight Credit Assignment. CoRR abs/1912.02503 (2019) - 2018
- [i18]Greg Wayne, Chia-Chun Hung, David Amos, Mehdi Mirza, Arun Ahuja, Agnieszka Grabska-Barwinska, Jack W. Rae, Piotr Mirowski, Joel Z. Leibo, Adam Santoro, Mevlana Gemici, Malcolm Reynolds, Tim Harley, Josh Abramson, Shakir Mohamed, Danilo Jimenez Rezende, David Saxton, Adam Cain, Chloe Hillier, David Silver, Koray Kavukcuoglu, Matthew M. Botvinick, Demis Hassabis, Timothy P. Lillicrap:
Unsupervised Predictive Memory in a Goal-Directed Agent. CoRR abs/1803.10760 (2018) - [i17]Luis Piloto, Ari Weinstein, Dhruva TB, Arun Ahuja, Mehdi Mirza, Greg Wayne, David Amos, Chia-Chun Hung, Matthew M. Botvinick:
Probing Physics Knowledge Using Tools from Developmental Psychology. CoRR abs/1804.01128 (2018) - [i16]Yan Wu, Greg Wayne, Alex Graves, Timothy P. Lillicrap:
The Kanerva Machine: A Generative Distributed Memory. CoRR abs/1804.01756 (2018) - [i15]Chia-Chun Hung, Timothy P. Lillicrap, Josh Abramson, Yan Wu, Mehdi Mirza, Federico Carnevale, Arun Ahuja, Greg Wayne:
Optimizing Agent Behavior over Long Time Scales by Transporting Value. CoRR abs/1810.06721 (2018) - [i14]Yan Wu, Greg Wayne, Karol Gregor, Timothy P. Lillicrap:
Learning Attractor Dynamics for Generative Memory. CoRR abs/1811.09556 (2018) - [i13]Josh Merel, Arun Ahuja, Vu Pham, Saran Tunyasuvunakool, Siqi Liu, Dhruva Tirumala, Nicolas Heess, Greg Wayne:
Hierarchical visuomotor control of humanoids. CoRR abs/1811.09656 (2018) - [i12]David Rolnick, Arun Ahuja, Jonathan Schwarz, Timothy P. Lillicrap, Greg Wayne:
Experience Replay for Continual Learning. CoRR abs/1811.11682 (2018) - [i11]Josh Merel, Leonard Hasenclever, Alexandre Galashov, Arun Ahuja, Vu Pham, Greg Wayne, Yee Whye Teh, Nicolas Heess:
Neural probabilistic motor primitives for humanoid control. CoRR abs/1811.11711 (2018) - 2017
- [i10]Mevlana Gemici, Chia-Chun Hung, Adam Santoro, Greg Wayne, Shakir Mohamed, Danilo Jimenez Rezende, David Amos, Timothy P. Lillicrap:
Generative Temporal Models with Memory. CoRR abs/1702.04649 (2017) - [i9]Josh Merel, Yuval Tassa, Dhruva TB, Sriram Srinivasan, Jay Lemmon, Ziyu Wang, Greg Wayne, Nicolas Heess:
Learning human behaviors from motion capture by adversarial imitation. CoRR abs/1707.02201 (2017) - [i8]Nicolas Heess, Dhruva TB, Srinivasan Sriram, Jay Lemmon, Josh Merel, Greg Wayne, Yuval Tassa, Tom Erez, Ziyu Wang, S. M. Ali Eslami, Martin A. Riedmiller, David Silver:
Emergence of Locomotion Behaviours in Rich Environments. CoRR abs/1707.02286 (2017) - [i7]Ziyu Wang, Josh Merel, Scott E. Reed, Greg Wayne, Nando de Freitas, Nicolas Heess:
Robust Imitation of Diverse Behaviors. CoRR abs/1707.02747 (2017) - [i6]Matthew M. Botvinick, David G. T. Barrett, Peter W. Battaglia, Nando de Freitas, Dharshan Kumaran, Joel Z. Leibo, Tim Lillicrap, Joseph Modayil, S. Mohamed, Neil C. Rabinowitz, Danilo Jimenez Rezende, Adam Santoro, Tom Schaul, Christopher Summerfield, Greg Wayne, Theophane Weber, Daan Wierstra, Shane Legg, Demis Hassabis:
Building Machines that Learn and Think for Themselves: Commentary on Lake et al., Behavioral and Brain Sciences, 2017. CoRR abs/1711.08378 (2017) - 2016
- [i5]Ivo Danihelka, Greg Wayne, Benigno Uria, Nal Kalchbrenner, Alex Graves:
Associative Long Short-Term Memory. CoRR abs/1602.03032 (2016) - [i4]Nicolas Heess, Gregory Wayne, Yuval Tassa, Timothy P. Lillicrap, Martin A. Riedmiller, David Silver:
Learning and Transfer of Modulated Locomotor Controllers. CoRR abs/1610.05182 (2016) - [i3]Jack W. Rae, Jonathan J. Hunt, Tim Harley, Ivo Danihelka, Andrew W. Senior, Greg Wayne, Alex Graves, Timothy P. Lillicrap:
Scaling Memory-Augmented Neural Networks with Sparse Reads and Writes. CoRR abs/1610.09027 (2016) - 2015
- [i2]Nicolas Heess, Greg Wayne, David Silver, Timothy P. Lillicrap, Yuval Tassa, Tom Erez:
Learning Continuous Control Policies by Stochastic Value Gradients. CoRR abs/1510.09142 (2015) - 2014
- [i1]Alex Graves, Greg Wayne, Ivo Danihelka:
Neural Turing Machines. CoRR abs/1410.5401 (2014)
Coauthor Index
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