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04/20/2023
Efficient Deep Reinforcement Learning Requires Regulating Overfitting
Deep reinforcement learning algorithms that learn policies by trial-and-...
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12/24/2022
Understanding the Complexity Gains of Single-Task RL with a Curriculum
Reinforcement learning (RL) problems can be challenging without well-sha...
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08/03/2022
AdaCat: Adaptive Categorical Discretization for Autoregressive Models
Autoregressive generative models can estimate complex continuous data di...
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06/03/2021
Reinforcement Learning as One Big Sequence Modeling Problem
Reinforcement learning (RL) is typically concerned with estimating singl...
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11/03/2019
Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks
Lipschitz constraints under L2 norm on deep neural networks are useful f...
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11/22/2018
TimbreTron: A WaveNet(CycleGAN(CQT(Audio))) Pipeline for Musical Timbre Transfer
In this work, we address the problem of musical timbre transfer, where t...
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11/03/2018
Building a Winning Self-Driving Car in Six Months
The SAE AutoDrive Challenge is a three-year competition to develop a Lev...
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09/19/2017
Learning of Coordination Policies for Robotic Swarms
Inspired by biological swarms, robotic swarms are envisioned to solve re...
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10/20/2016
