Gregory Wayne

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 13

Top Topics

Control Policies

Linear Gaussian

Reinforcement Learning Agents

Question Answering

Top Venues

Publications

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)
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 (2023)
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)
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 (2022)
David Budden, Adam H. Marblestone, Eren Sezener, Tor Lattimore, Gregory Wayne, Joel Veness
Gaussian Gated Linear Networks. NeurIPS (2020)
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 (2020)
Ben Deverett, Ryan Faulkner, Meire Fortunato, Gregory Wayne, Joel Z. Leibo
Interval timing in deep reinforcement learning agents. NeurIPS (2019)
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)
David Rolnick, Arun Ahuja, Jonathan Schwarz, Timothy P. Lillicrap, Gregory Wayne
Experience Replay for Continual Learning. NeurIPS (2019)
Yan Wu, Gregory Wayne, Karol Gregor, Timothy P. Lillicrap
Learning Attractor Dynamics for Generative Memory. NeurIPS (2018)
Ziyu Wang, Josh Merel, Scott E. Reed, Nando de Freitas, Gregory Wayne, Nicolas Heess
Robust Imitation of Diverse Behaviors. NIPS (2017)
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)
Nicolas Heess, Gregory Wayne, Yuval Tassa, Timothy P. Lillicrap, Martin A. Riedmiller, David Silver
Learning and Transfer of Modulated Locomotor Controllers. CoRR (2016)
Nicolas Heess, Gregory Wayne, David Silver, Timothy P. Lillicrap, Tom Erez, Yuval Tassa
Learning Continuous Control Policies by Stochastic Value Gradients. NIPS (2015)