1.3k citations · 3.8k across the 222 of their papers we have counts for
5 papers · 2 filters
Optimization for Reinforcement Learning: From Single Agent to Cooperative Agents
Donghwan Lee, Niao He, Parameswaran Kamalaruban +1
This article reviews recent advances in multi-agent reinforcement learning algorithms for large-scale control systems and communication networks, which learn to communicate and coo…
Nearly Minimal Over-Parametrization of Shallow Neural Networks
Armin Eftekhari, ChaeHwan Song, Volkan Cevher
A recent line of work has shown that an overparametrized neural network can perfectly fit the training data, an otherwise often intractable nonconvex optimization problem. For (ful…
Fast and Provable ADMM for Learning with Generative Priors
Fabian Latorre Gómez, Armin Eftekhari, Volkan Cevher
In this work, we propose a (linearized) Alternating Direction Method-of-Multipliers (ADMM) algorithm for minimizing a convex function subject to a nonconvex constraint. We focus on…
Interactive Teaching Algorithms for Inverse Reinforcement Learning
Parameswaran Kamalaruban, Rati Devidze, Volkan Cevher +1
We study the problem of inverse reinforcement learning (IRL) with the added twist that the learner is assisted by a helpful teacher. More formally, we tackle the following algorith…
On Certifying Non-uniform Bound against Adversarial Attacks
Chen Liu, Ryota Tomioka, Volkan Cevher
This work studies the robustness certification problem of neural network models, which aims to find certified adversary-free regions as large as possible around data points. In con…