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07/29/2023
Initial State Interventions for Deconfounded Imitation Learning
Imitation learning suffers from causal confusion. This phenomenon occurs...
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03/29/2023
Meta-Learning Parameterized First-Order Optimizers using Differentiable Convex Optimization
Conventional optimization methods in machine learning and controls rely ...
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02/03/2023
Asymmetric Certified Robustness via Feature-Convex Neural Networks
Recent works have introduced input-convex neural networks (ICNNs) as lea...
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12/27/2021
Safe Reinforcement Learning with Chance-constrained Model Predictive Control
Real-world reinforcement learning (RL) problems often demand that agents...
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10/17/2020
Discriminability of Single-Layer Graph Neural Networks
Network data can be conveniently modeled as a graph signal, where data v...
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09/23/2020