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09/01/2021
Boosting Search Engines with Interactive Agents
Can machines learn to use a search engine as an interactive tool for fin...
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04/19/2021
Agent-Centric Representations for Multi-Agent Reinforcement Learning
Object-centric representations have recently enabled significant progres...
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03/24/2020
MetNet: A Neural Weather Model for Precipitation Forecasting
Weather forecasting is a long standing scientific challenge with direct ...
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10/15/2019
SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference
We present a modern scalable reinforcement learning agent called SEED (S...
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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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09/12/2018
Multi-task Deep Reinforcement Learning with PopArt
The reinforcement learning community has made great strides in designing...
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02/05/2018
IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures
In this work we aim to solve a large collection of tasks using a single ...
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10/31/2016
Neural Machine Translation in Linear Time
We present a novel neural network for processing sequences. The ByteNet ...
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06/16/2016
Conditional Image Generation with PixelCNN Decoders
This work explores conditional image generation with a new image density...
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06/10/2015
