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06/28/2023
SARC: Soft Actor Retrospective Critic
The two-time scale nature of SAC, which is an actor-critic algorithm, is...
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01/13/2023
Interaction-Aware Trajectory Planning for Autonomous Vehicles with Analytic Integration of Neural Networks into Model Predictive Control
Autonomous vehicles (AVs) must share the driving space with other driver...
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09/12/2022
Deterministic Sequencing of Exploration and Exploitation for Reinforcement Learning
We propose Deterministic Sequencing of Exploration and Exploitation (DSE...
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01/24/2022
Structural Properties of Optimal Fidelity Selection Policies for Human-in-the-loop Queues
We study optimal fidelity selection for a human operator servicing a que...
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05/14/2021
Information-theoretic Evolution of Model Agnostic Global Explanations
Explaining the behavior of black box machine learning models through hum...
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11/23/2020
Modeling Functional Similarity in Source Code with Graph-Based Siamese Networks
Code clones are duplicate code fragments that share (nearly) similar syn...
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09/10/2020
JCoffee: Using Compiler Feedback to Make Partial Code Snippets Compilable
Static program analysis tools are often required to work with only a sma...
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09/03/2020
MixBoost: Synthetic Oversampling with Boosted Mixup for Handling Extreme Imbalance
Training a classification model on a dataset where the instances of one ...
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06/24/2020
Retrospective Loss: Looking Back to Improve Training of Deep Neural Networks
Deep neural networks (DNNs) are powerful learning machines that have ena...
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03/24/2020
Towards Safer Self-Driving Through Great PAIN (Physically Adversarial Intelligent Networks)
Automated vehicles' neural networks suffer from overfit, poor generaliza...
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01/15/2020
ShapeVis: High-dimensional Data Visualization at Scale
We present ShapeVis, a scalable visualization technique for point cloud ...
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12/23/2019
Explain Your Move: Understanding Agent Actions Using Focused Feature Saliency
As deep reinforcement learning (RL) is applied to more tasks, there is a...
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06/22/2017
