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05/16/2022
An Empirical Investigation of Representation Learning for Imitation
Imitation learning often needs a large demonstration set in order to han...
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04/14/2022
Retrospective on the 2021 BASALT Competition on Learning from Human Feedback
We held the first-ever MineRL Benchmark for Agents that Solve Almost-Lif...
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10/13/2021
Detecting Modularity in Deep Neural Networks
A neural network is modular to the extent that parts of its computationa...
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07/05/2021
The MineRL BASALT Competition on Learning from Human Feedback
The last decade has seen a significant increase of interest in deep lear...
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03/04/2021
Clusterability in Neural Networks
The learned weights of a neural network have often been considered devoi...
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03/10/2020
Neural Networks are Surprisingly Modular
The learned weights of a neural network are often considered devoid of s...
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05/25/2019
Adversarial Policies: Attacking Deep Reinforcement Learning
Deep reinforcement learning (RL) policies are known to be vulnerable to ...
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03/13/2019
ALOHA: Auxiliary Loss Optimization for Hypothesis Augmentation
Malware detection is a popular application of Machine Learning for Infor...
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04/13/2018
