1 citations · 1 across the 8 of their papers we have counts for
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Policy Gradient Algorithms in Average-Reward Multichain MDPs
Jongmin Lee, Ernest K. Ryu
While there is an extensive body of research analyzing policy gradient methods for discounted cumulative-reward MDPs, prior work on policy gradient methods for average-reward MDPs…
Optimization Algorithm Design via Electric Circuits
Stephen P. Boyd, Tetiana Parshakova, Ernest K. Ryu +1
We present a novel methodology for convex optimization algorithm design using ideas from electric RLC circuits. Given an optimization problem, the first stage of the methodology is…
Optimal Acceleration for Minimax and Fixed-Point Problems is Not Unique
TaeHo Yoon, Jaeyeon Kim, Jaewook J. Suh +1
Recently, accelerated algorithms using the anchoring mechanism for minimax optimization and fixed-point problems have been proposed, and matching complexity lower bounds establish…
Mirror Duality in Convex Optimization
Jaeyeon Kim, Chanwoo Park, Asuman Ozdaglar +2
While first-order optimization methods are usually designed to efficiently reduce the function value , there has been recent interest in methods efficiently reducing the magn…