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AnEfficientAsynchronousMethodforIntegrating EvolutionaryandGradient-basedPolicySearch

Neural Information Processing Systems

These have the opposite properties, with DRL having good sample efficiencyandpoor stability, while ESbeing vice versa. Recently,there havebeen attempts tocombine these algorithms, butthesemethods fullyrelyonsynchronous updatescheme, making it not ideal to maximize the benefits of the parallelism in ES.




Private Identity Testingfor High-Dimensional Distributions AnonymousAuthor(s) June 5, 2020

Neural Information Processing Systems

We construct two types of testers, exhibiting tradeoffs between sample complexity and computational complexity. Finally, we provide a two-way reduction between testing a subclass of multivariate product distributions and testing univariate distributions,and thereby obtainupper and lower bounds for testingthis subclassof product distributions.