56 citations · 104 across the 9 of their papers we have counts for
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cs.LG2016★ 56 cited
Generative Multi-Adversarial Networks
Ishan Durugkar, Ian Gemp, Sridhar Mahadevan
Generative adversarial networks (GANs) are a framework for producing a generative model by way of a two-player minimax game. In this paper, we propose the \emph{Generative Multi-Ad…
cs.LG2016★ 2 cited
Online Monotone Optimization
Ian Gemp, Sridhar Mahadevan
This paper presents a new framework for analyzing and designing no-regret algorithms for dynamic (possibly adversarial) systems. The proposed framework generalizes the popular onli…
cs.LG2014★ 46 cited
Proximal Reinforcement Learning: A New Theory of Sequential Decision Making in Primal-Dual Spaces
Sridhar Mahadevan, Bo Liu, Philip Thomas +5
In this paper, we set forth a new vision of reinforcement learning developed by us over the past few years, one that yields mathematically rigorous solutions to longstanding import…