David Silver

3 papers · Latest: December 19, 2023

Gemini: A Family of Highly Capable Multimodal Models

Gemini is a new family of multimodal AI models excelling in image, audio, video, and text understanding, achieving state-of-the-art results across numerous benchmarks including human-expert level on MMLU.

2312.11805Dec 19, 2023

Machine Learning

Asynchronous Methods for Deep Reinforcement Learning

This paper introduces asynchronous variants of deep reinforcement learning algorithms that stabilize training and achieve state-of-the-art results efficiently using parallel actor-learners on CPUs.

1602.01783Feb 4, 2016

Machine Learning

Playing Atari with Deep Reinforcement Learning

This paper introduces a deep convolutional neural network trained with reinforcement learning to play Atari games directly from raw pixel inputs, outperforming previous methods and human experts on several games.

1312.5602Dec 19, 2013

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