13 citations · 16 across the 3 of their papers we have counts for
3 papers
cs.LG2024★ 3 cited
HardNet: Hard-Constrained Neural Networks with Universal Approximation Guarantees
Youngjae Min, Navid Azizan
Incorporating prior knowledge or specifications of input-output relationships into machine learning models has attracted significant attention, as it enhances generalization from l…
cs.LG2020★ 13 cited
Invariant Policy Optimization: Towards Stronger Generalization in Reinforcement Learning
Anoopkumar Sonar, Vincent Pacelli, Anirudha Majumdar
A fundamental challenge in reinforcement learning is to learn policies that generalize beyond the operating domains experienced during training. In this paper, we approach this cha…
cs.RO2018
PAC-Bayes Control: Learning Policies that Provably Generalize to Novel Environments
Anirudha Majumdar, Alec Farid, Anoopkumar Sonar
Our goal is to learn control policies for robots that provably generalize well to novel environments given a dataset of example environments. The key technical idea behind our appr…