Publications (29)
Simulation leagues: Analysis of competition formats
David Budden, Peter Wang, Oliver Obst +1
TF-Replicator: Distributed Machine Learning for Researchers
Peter Buchlovsky, David Budden, Dominik Grewe +9
DeepMind Control Suite
Yuval Tassa, Yotam Doron, Alistair Muldal +9
Toward Streaming Synapse Detection with Compositional ConvNets
Shibani Santurkar, David Budden, Alexander Matveev +4
Scaling data-driven robotics with reward sketching and batch reinforcement learning
Serkan Cabi, Sergio Gómez Colmenarejo, Alexander Novikov +13
Distributed Distributional Deterministic Policy Gradients
Gabriel Barth-Maron, Matthew W. Hoffman, David Budden +6
One-Shot High-Fidelity Imitation: Training Large-Scale Deep Nets with RL
Tom Le Paine, Sergio Gómez Colmenarejo, Ziyu Wang +8
The CLRS Algorithmic Reasoning Benchmark
Petar VeliÄkoviÄ, Adrià Puigdomènech Badia, David Budden +5
A Combinatorial Perspective on Transfer Learning
Jianan Wang, Eren Sezener, David Budden +2
A Generalized Framework for Population Based Training
Ang Li, Aleksandra Spyra, Sagi Perel +6
Unified Scaling Laws for Routed Language Models
Aidan Clark, Diego de las Casas, Aurelia Guy +23
RANSAC: Identification of Higher-Order Geometric Features and Applications in Humanoid Robot Soccer
Madison Flannery, Shannon Fenn, David Budden
Playing hard exploration games by watching YouTube
Yusuf Aytar, Tobias Pfaff, David Budden +3
Task-Relevant Adversarial Imitation Learning
Konrad Zolna, Scott Reed, Alexander Novikov +6
RecurrentGemma: Moving Past Transformers for Efficient Open Language Models
Aleksandar Botev, Soham De, Samuel L Smith +59
Gaussian Gated Linear Networks
David Budden, Adam Marblestone, Eren Sezener +3
Sample Efficient Adaptive Text-to-Speech
Yutian Chen, Yannis Assael, Brendan Shillingford +11
Generative Compression
Shibani Santurkar, David Budden, Nir Shavit
Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models
Soham De, Samuel L. Smith, Anushan Fernando +14
Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Jack W. Rae, Sebastian Borgeaud, Trevor Cai +77
Distributed Prioritized Experience Replay
Dan Horgan, John Quan, David Budden +4
Observe and Look Further: Achieving Consistent Performance on Atari
Tobias Pohlen, Bilal Piot, Todd Hester +10
Addressing the non-functional requirements of computer vision systems: A case study
Shannon Fenn, Alexandre Mendes, David Budden
Online Learning in Contextual Bandits using Gated Linear Networks
Eren Sezener, Marcus Hutter, David Budden +2
Deep Tensor Convolution on Multicores
David Budden, Alexander Matveev, Shibani Santurkar +2
Modular Meta-Learning with Shrinkage
Yutian Chen, Abram L. Friesen, Feryal Behbahani +4
Gated Linear Networks
Joel Veness, Tor Lattimore, David Budden +8
Large-scale graph representation learning with very deep GNNs and self-supervision
Ravichandra Addanki, Peter W. Battaglia, David Budden +8
A Multi-Pass Approach to Large-Scale Connectomics
Yaron Meirovitch, Alexander Matveev, Hayk Saribekyan +8