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11/06/2022
ProtoX: Explaining a Reinforcement Learning Agent via Prototyping
While deep reinforcement learning has proven to be successful in solving...
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10/24/2018
Solving Weakly-Convex-Weakly-Concave Saddle-Point Problems as Weakly-Monotone Variational Inequality
In this paper, we consider first-order algorithms for solving a class of...
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10/04/2018
Non-Convex Min-Max Optimization: Provable Algorithms and Applications in Machine Learning
Min-max saddle-point problems have broad applications in many tasks in m...
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07/16/2017
