Demis Hassabis

According to our database1, Demis Hassabis authored at least 26 papers between 2009 and 2018.

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Bibliography

2018
Human-level performance in first-person multiplayer games with population-based deep reinforcement learning.
CoRR, 2018

Unsupervised Predictive Memory in a Goal-Directed Agent.
CoRR, 2018

Memory-based Parameter Adaptation.
CoRR, 2018

Learning and Querying Fast Generative Models for Reinforcement Learning.
CoRR, 2018

Psychlab: A Psychology Laboratory for Deep Reinforcement Learning Agents.
CoRR, 2018


2017
Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm.
CoRR, 2017

Parallel WaveNet: Fast High-Fidelity Speech Synthesis.
CoRR, 2017

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

Neural Episodic Control.
CoRR, 2017

SCAN: Learning Abstract Hierarchical Compositional Visual Concepts.
CoRR, 2017

Grounded Language Learning in a Simulated 3D World.
CoRR, 2017

Noisy Networks for Exploration.
CoRR, 2017

Imagination-Augmented Agents for Deep Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Neural Episodic Control.
Proceedings of the 34th International Conference on Machine Learning, 2017

A model of structure learning, inference, and generation for scene understanding.
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.
Nature, 2016

Hybrid computing using a neural network with dynamic external memory.
Nature, 2016

Overcoming catastrophic forgetting in neural networks.
CoRR, 2016

Model-Free Episodic Control.
CoRR, 2016

DeepMind Lab.
CoRR, 2016

The Forget-me-not Process.
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.
Nature, 2015

Approximate Hubel-Wiesel Modules and the Data Structures of Neural Computation.
CoRR, 2015

Letter to the Editor: Research Priorities for Robust and Beneficial Artificial Intelligence: An Open Letter.
AI Magazine, 2015

2009
Cortical midline involvement in autobiographical memory.
NeuroImage, 2009


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