Koray Kavukcuoglu
5 papers · Latest:
Gemma: Open Models Based on Gemini Research and Technology
Gemma is a family of lightweight, open language models that achieve strong performance and safety on academic benchmarks, built using Gemini research and technology.
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.
WaveNet: A Generative Model for Raw Audio
WaveNet is a deep autoregressive model that generates highly natural raw audio waveforms, achieving state-of-the-art results in text-to-speech and music generation.
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.
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.
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