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02/14/2023
Data-Centric Governance
Artificial intelligence (AI) governance is the body of standards and pra...
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01/18/2023
A Domain-Agnostic Approach for Characterization of Lifelong Learning Systems
Despite the advancement of machine learning techniques in recent years, ...
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11/11/2022
Global and Local Analysis of Interestingness for Competency-Aware Deep Reinforcement Learning
In recent years, advances in deep learning have resulted in a plethora o...
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08/17/2022
A Framework for Understanding and Visualizing Strategies of RL Agents
Recent years have seen significant advances in explainable AI as the nee...
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08/09/2022
Model-Free Generative Replay for Lifelong Reinforcement Learning: Application to Starcraft-2
One approach to meet the challenges of deep lifelong reinforcement learn...
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07/15/2022
Outcome-Guided Counterfactuals for Reinforcement Learning Agents from a Jointly Trained Generative Latent Space
We present a novel generative method for producing unseen and plausible ...
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06/10/2022
Conformal Prediction Intervals for Markov Decision Process Trajectories
Before delegating a task to an autonomous system, a human operator may w...
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07/14/2020
Lifelong Learning using Eigentasks: Task Separation, Skill Acquisition, and Selective Transfer
We introduce the eigentask framework for lifelong learning. An eigentask...
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05/30/2019
Toward Runtime-Throttleable Neural Networks
As deep neural network (NN) methods have matured, there has been increas...
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02/22/2019
Generative Memory for Lifelong Reinforcement Learning
Our research is focused on understanding and applying biological memory ...
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11/29/2018
Bootstrapping Deep Neural Networks from Image Processing and Computer Vision Pipelines
Complex image processing and computer vision systems often consist of a ...
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10/16/2012
