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08/07/2023
AlphaStar Unplugged: Large-Scale Offline Reinforcement Learning
StarCraft II is one of the most challenging simulated reinforcement lear...
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06/30/2022
Mastering the Game of Stratego with Model-Free Multiagent Reinforcement Learning
We introduce DeepNash, an autonomous agent capable of learning to play t...
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11/02/2021
Procedural Generalization by Planning with Self-Supervised World Models
One of the key promises of model-based reinforcement learning is the abi...
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06/09/2021
Pretrained Encoders are All You Need
Data-efficiency and generalization are key challenges in deep learning a...
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06/08/2021
Vector Quantized Models for Planning
Recent developments in the field of model-based RL have proven successfu...
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12/25/2019
SketchTransfer: A Challenging New Task for Exploring Detail-Invariance and the Abstractions Learned by Deep Networks
Deep networks have achieved excellent results in perceptual tasks, yet t...
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06/19/2019
Unsupervised State Representation Learning in Atari
State representation learning, or the ability to capture latent generati...
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05/22/2019
The Journey is the Reward: Unsupervised Learning of Influential Trajectories
Unsupervised exploration and representation learning become increasingly...
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05/16/2019
On Variational Bounds of Mutual Information
Estimating and optimizing Mutual Information (MI) is core to many proble...
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03/28/2019
Wasserstein Dependency Measure for Representation Learning
Mutual information maximization has emerged as a powerful learning objec...
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12/08/2015
Deep Speech 2: End-to-End Speech Recognition in English and Mandarin
We show that an end-to-end deep learning approach can be used to recogni...
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10/02/2014
Deep Directed Generative Autoencoders
For discrete data, the likelihood P(x) can be rewritten exactly and para...
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06/10/2014
Generative Adversarial Networks
We propose a new framework for estimating generative models via an adver...
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12/19/2013