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01/08/2022
Conditional Approximate Normalizing Flows for Joint Multi-Step Probabilistic Electricity Demand Forecasting
Some real-world decision-making problems require making probabilistic fo...
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01/08/2022
Multi-Vehicle Control in Roundabouts using Decentralized Game-Theoretic Planning
Safe navigation in dense, urban driving environments remains an open pro...
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05/05/2021
Training Structured Mechanical Models by Minimizing Discrete Euler-Lagrange Residual
Model-based paradigms for decision-making and control are becoming ubiqu...
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06/20/2020
Scalable Identification of Partially Observed Systems with Certainty-Equivalent EM
System identification is a key step for model-based control, estimator d...
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04/21/2020
Structured Mechanical Models for Robot Learning and Control
Model-based methods are the dominant paradigm for controlling robotic sy...
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02/22/2019
A General Framework for Structured Learning of Mechanical Systems
Learning accurate dynamics models is necessary for optimal, compliant co...
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07/22/2018
EnsembleDAgger: A Bayesian Approach to Safe Imitation Learning
While imitation learning is often used in robotics, this approach often ...
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09/19/2017
Deep Reinforcement Learning for Event-Driven Multi-Agent Decision Processes
The incorporation of macro-actions (temporally extended actions) into mu...
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09/18/2017