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06/22/2023
AudioPaLM: A Large Language Model That Can Speak and Listen
We introduce AudioPaLM, a large language model for speech understanding ...
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05/16/2023
SoundStorm: Efficient Parallel Audio Generation
We present SoundStorm, a model for efficient, non-autoregressive audio g...
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02/07/2023
Speak, Read and Prompt: High-Fidelity Text-to-Speech with Minimal Supervision
We introduce SPEAR-TTS, a multi-speaker text-to-speech (TTS) system that...
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09/07/2022
AudioLM: a Language Modeling Approach to Audio Generation
We introduce AudioLM, a framework for high-quality audio generation with...
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11/04/2021
RLDS: an Ecosystem to Generate, Share and Use Datasets in Reinforcement Learning
We introduce RLDS (Reinforcement Learning Datasets), an ecosystem for re...
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10/19/2021
Continuous Control with Action Quantization from Demonstrations
In Reinforcement Learning (RL), discrete actions, as opposed to continuo...
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06/01/2021
What Matters for Adversarial Imitation Learning?
Adversarial imitation learning has become a popular framework for imitat...
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05/25/2021
Hyperparameter Selection for Imitation Learning
We address the issue of tuning hyperparameters (HPs) for imitation learn...
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07/25/2019
Google Research Football: A Novel Reinforcement Learning Environment
Recent progress in the field of reinforcement learning has been accelera...
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07/01/2019
MULEX: Disentangling Exploitation from Exploration in Deep RL
An agent learning through interactions should balance its action selecti...
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06/19/2019
Adaptive Temporal-Difference Learning for Policy Evaluation with Per-State Uncertainty Estimates
We consider the core reinforcement-learning problem of on-policy value f...
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10/04/2018
Episodic Curiosity through Reachability
Rewards are sparse in the real world and most today's reinforcement lear...
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07/09/2018
Temporal Difference Learning with Neural Networks - Study of the Leakage Propagation Problem
Temporal-Difference learning (TD) [Sutton, 1988] with function approxima...
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04/30/2018
Clustering Meets Implicit Generative Models
Clustering is a cornerstone of unsupervised learning which can be though...
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02/07/2018
Spatially adaptive image compression using a tiled deep network
Deep neural networks represent a powerful class of function approximator...
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05/23/2017
Better Text Understanding Through Image-To-Text Transfer
Generic text embeddings are successfully used in a variety of tasks. How...
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05/18/2017
Target-Quality Image Compression with Recurrent, Convolutional Neural Networks
We introduce a stop-code tolerant (SCT) approach to training recurrent c...
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03/29/2017
Improved Lossy Image Compression with Priming and Spatially Adaptive Bit Rates for Recurrent Networks
We propose a method for lossy image compression based on recurrent, conv...
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08/18/2016
Full Resolution Image Compression with Recurrent Neural Networks
This paper presents a set of full-resolution lossy image compression met...
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11/19/2015