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06/08/2023
Learning A Foundation Language Model for Geoscience Knowledge Understanding and Utilization
Large language models (LLMs)have achieved great success in general domai...
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03/18/2023
Neural Operators of Backstepping Controller and Observer Gain Functions for Reaction-Diffusion PDEs
Unlike ODEs, whose models involve system matrices and whose controllers ...
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11/28/2022
Machine Learning Accelerated PDE Backstepping Observers
State estimation is important for a variety of tasks, from forecasting t...
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11/27/2022
BEAR: Physics-Principled Building Environment for Control and Reinforcement Learning
Recent advancements in reinforcement learning algorithms have opened doo...
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11/14/2022
Energy Storage Price Arbitrage via Opportunity Value Function Prediction
This paper proposes a novel energy storage price arbitrage algorithm com...
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10/30/2022
FI-ODE: Certified and Robust Forward Invariance in Neural ODEs
We study how to certifiably enforce forward invariance properties in neu...
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06/03/2022
KCRL: Krasovskii-Constrained Reinforcement Learning with Guaranteed Stability in Nonlinear Dynamical Systems
Learning a dynamical system requires stabilizing the unknown dynamics to...
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12/14/2021
CEM-GD: Cross-Entropy Method with Gradient Descent Planner for Model-Based Reinforcement Learning
Current state-of-the-art model-based reinforcement learning algorithms u...
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11/16/2021
Polymatrix Competitive Gradient Descent
Many economic games and machine learning approaches can be cast as compe...
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11/02/2021
Training Certifiably Robust Neural Networks with Efficient Local Lipschitz Bounds
Certified robustness is a desirable property for deep neural networks in...
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10/18/2021
Improving Robustness of Reinforcement Learning for Power System Control with Adversarial Training
Due to the proliferation of renewable energy and its intrinsic intermitt...
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09/02/2021
End-to-End Demand Response Model Identification and Baseline Estimation with Deep Learning
This paper proposes a novel end-to-end deep learning framework that simu...
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04/29/2021
Stable Online Control of LTV Systems Stable Online Control of Linear Time-Varying Systems
Linear time-varying (LTV) systems are widely used for modeling real-worl...
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09/14/2020
Multi-Agent Reinforcement Learning in Cournot Games
In this work, we study the interaction of strategic agents in continuous...
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03/20/2020
Safe Reinforcement Learning of Control-Affine Systems with Vertex Networks
This paper focuses on finding reinforcement learning policies for contro...
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06/15/2019