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03/30/2023
Surrogate Neural Networks for Efficient Simulation-based Trajectory Planning Optimization
This paper presents a novel methodology that uses surrogate models in th...
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02/17/2023
Learning to Forecast Aleatoric and Epistemic Uncertainties over Long Horizon Trajectories
Giving autonomous agents the ability to forecast their own outcomes and ...
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11/29/2022
Symmetry Detection in Trajectory Data for More Meaningful Reinforcement Learning Representations
Knowledge of the symmetries of reinforcement learning (RL) systems can b...
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11/29/2022
Learning and Understanding a Disentangled Feature Representation for Hidden Parameters in Reinforcement Learning
Hidden parameters are latent variables in reinforcement learning (RL) en...
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06/21/2022
Uncertainty Quantification for Competency Assessment of Autonomous Agents
For safe and reliable deployment in the real world, autonomous agents mu...
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03/23/2022
Competency Assessment for Autonomous Agents using Deep Generative Models
For autonomous agents to act as trustworthy partners to human users, the...
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11/17/2020
Explaining Conditions for Reinforcement Learning Behaviors from Real and Imagined Data
The deployment of reinforcement learning (RL) in the real world comes wi...
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08/03/2018
Real-Time Object Pose Estimation with Pose Interpreter Networks
In this work, we introduce pose interpreter networks for 6-DoF object po...
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11/06/2017
