Demis Hassabis

Orcid: 0000-0003-2812-9917

Affiliations:

Goggle DeepMind

According to our database¹, Demis Hassabis authored at least 52 papers between 2009 and 2023.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2023

Faster sorting algorithms discovered using deep reinforcement learning.

[BibT_eX]

[DOI]

Nat., 2023

Tackling Climate Change with Machine Learning.

[BibT_eX]

[DOI]

ACM Comput. Surv., 2023

Bridging the Human-AI Knowledge Gap: Concept Discovery and Transfer in AlphaZero.

[BibT_eX]

[DOI]

CoRR, 2023

TacticAI: an AI assistant for football tactics.

[BibT_eX]

[DOI]

CoRR, 2023

Learning to Decode the Surface Code with a Recurrent, Transformer-Based Neural Network.

[BibT_eX]

[DOI]

Johannes Bausch

Andrew W. Senior

Francisco J. H. Heras

CoRR, 2023

Diversifying AI: Towards Creative Chess with AlphaZero.

[BibT_eX]

[DOI]

CoRR, 2023

2022

Discovering faster matrix multiplication algorithms with reinforcement learning.

[BibT_eX]

[DOI]

Bernardino Romera-Paredes

Mohammadamin Barekatain

Nat., 2022

Magnetic control of tokamak plasmas through deep reinforcement learning.

[BibT_eX]

[DOI]

Nat., 2022

AlphaFold Protein Structure Database: massively expanding the structural coverage of protein-sequence space with high-accuracy models.

[BibT_eX]

[DOI]

Nucleic Acids Res., 2022

Improving alignment of dialogue agents via targeted human judgements.

[BibT_eX]

[DOI]

CoRR, 2022

Mastering the Game of Stratego with Model-Free Multiagent Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Reimagining chess with AlphaZero.

[BibT_eX]

[DOI]

Commun. ACM, 2022

2021

Advancing mathematics by guiding human intuition with AI.

[BibT_eX]

[DOI]

Nat., 2021

Game Plan: What AI can do for Football, and What Football can do for AI.

[BibT_eX]

[DOI]

J. Artif. Intell. Res., 2021

Scaling Language Models: Methods, Analysis & Insights from Training Gopher.

[BibT_eX]

[DOI]

George van den Driessche

Siddhant M. Jayakumar

Jean-Baptiste Lespiau

Cyprien de Masson d'Autume

CoRR, 2021

Acquisition of Chess Knowledge in AlphaZero.

[BibT_eX]

[DOI]

CoRR, 2021

Alchemy: A structured task distribution for meta-reinforcement learning.

[BibT_eX]

[DOI]

CoRR, 2021

Alchemy: A benchmark and analysis toolkit for meta-reinforcement learning agents.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

2020

Improved protein structure prediction using potentials from deep learning.

[BibT_eX]

[DOI]

Alexander W. R. Nelson

Nat., 2020

Mastering Atari, Go, chess and shogi by planning with a learned model.

[BibT_eX]

[DOI]

Nat., 2020

A distributional code for value in dopamine-based reinforcement learning.

[BibT_eX]

[DOI]

Will Dabney

Zeb Kurth-Nelson

Naoshige Uchida

Clara Kwon Starkweather

Demis Hassabis

Rémi Munos

Matthew M. Botvinick

Nat., 2020

Assessing Game Balance with AlphaZero: Exploring Alternative Rule Sets in Chess.

[BibT_eX]

[DOI]

CoRR, 2020

MEMO: A Deep Network for Flexible Combination of Episodic Memories.

[BibT_eX]

[DOI]

Andrea Banino

Adrià Puigdomènech Badia

Raphael Köster

Martin J. Chadwick

Vinícius Flores Zambaldi

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Grandmaster level in StarCraft II using multi-agent reinforcement learning.

[BibT_eX]

[DOI]

Nat., 2019

2018

Vector-based navigation using grid-like representations in artificial agents.

[BibT_eX]

[DOI]

Nat., 2018

Human-level performance in first-person multiplayer games with population-based deep reinforcement learning.

[BibT_eX]

[DOI]

Max Jaderberg

Wojciech M. Czarnecki

Iain Dunning

Luke Marris

Guy Lever

Antonio García Castañeda

CoRR, 2018

Unsupervised Predictive Memory in a Goal-Directed Agent.

[BibT_eX]

[DOI]

CoRR, 2018

Learning and Querying Fast Generative Models for Reinforcement Learning.

[BibT_eX]

[DOI]

Danilo Jimenez Rezende

CoRR, 2018

Psychlab: A Psychology Laboratory for Deep Reinforcement Learning Agents.

[BibT_eX]

[DOI]

Joel Z. Leibo

Cyprien de Masson d'Autume

Antonio García Castañeda

CoRR, 2018

Parallel WaveNet: Fast High-Fidelity Speech Synthesis.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

Memory-based Parameter Adaptation.

[BibT_eX]

[DOI]

Pablo Sprechmann

Siddhant M. Jayakumar

Jack W. Rae

Alexander Pritzel

Adrià Puigdomènech Badia

Proceedings of the 6th International Conference on Learning Representations, 2018

SCAN: Learning Hierarchical Compositional Visual Concepts.

[BibT_eX]

[DOI]

Christopher P. Burgess

Proceedings of the 6th International Conference on Learning Representations, 2018

Noisy Networks For Exploration.

[BibT_eX]

[DOI]

Meire Fortunato

Mohammad Gheshlaghi Azar

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

Mastering the game of Go without human knowledge.

[BibT_eX]

[DOI]

George van den Driessche

Thore Graepel

Demis Hassabis

Nat., 2017

Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm.

[BibT_eX]

[DOI]

CoRR, 2017

Building Machines that Learn and Think for Themselves: Commentary on Lake et al., Behavioral and Brain Sciences, 2017.

[BibT_eX]

[DOI]

Danilo Jimenez Rezende

Adam Santoro

Tom Schaul

Christopher Summerfield

CoRR, 2017

SCAN: Learning Abstract Hierarchical Compositional Visual Concepts.

[BibT_eX]

[DOI]

Christopher P. Burgess

Matthew M. Botvinick

Demis Hassabis

Alexander Lerchner

CoRR, 2017

Grounded Language Learning in a Simulated 3D World.

[BibT_eX]

[DOI]

Wojciech Marian Czarnecki

CoRR, 2017

Noisy Networks for Exploration.

[BibT_eX]

[DOI]

Meire Fortunato

Mohammad Gheshlaghi Azar

CoRR, 2017

Imagination-Augmented Agents for Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Danilo Jimenez Rezende

Adrià Puigdomènech Badia

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Neural Episodic Control.

[BibT_eX]

[DOI]

Alexander Pritzel

Benigno Uria

Sriram Srinivasan

Adrià Puigdomènech Badia

Proceedings of the 34th International Conference on Machine Learning, 2017

A model of structure learning, inference, and generation for scene understanding.

[BibT_eX]

[DOI]

Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

2016

Mastering the game of Go with deep neural networks and tree search.

[BibT_eX]

[DOI]

Nat., 2016

Hybrid computing using a neural network with dynamic external memory.

[BibT_eX]

[DOI]

Nat., 2016

Overcoming catastrophic forgetting in neural networks.

[BibT_eX]

[DOI]

Agnieszka Grabska-Barwinska

CoRR, 2016

Model-Free Episodic Control.

[BibT_eX]

[DOI]

CoRR, 2016

DeepMind Lab.

[BibT_eX]

[DOI]

CoRR, 2016

The Forget-me-not Process.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015

Human-level control through deep reinforcement learning.

[BibT_eX]

[DOI]

Nat., 2015

Approximate Hubel-Wiesel Modules and the Data Structures of Neural Computation.

[BibT_eX]

[DOI]

CoRR, 2015

Letter to the Editor: Research Priorities for Robust and Beneficial Artificial Intelligence: An Open Letter.

[BibT_eX]

[DOI]

AI Mag., 2015

2009

Cortical midline involvement in autobiographical memory.

[BibT_eX]

[DOI]

Jennifer J. Summerfield

Demis Hassabis

Eleanor A. Maguire

NeuroImage, 2009

Demis Hassabis

Timeline

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Bibliography

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