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The Physical Systems Behind Optimization Algorithms
Lin Yang, Raman Arora, Vladimir braverman, Tuo Zhao
Neural Information Processing Systems http://nips.cc/
No-Press Diplomacy: Modeling Multi-Agent Gameplay
Philip Paquette, Yuchen Lu, SETON STEVEN BOCCO, Max Smith, Satya O.-G., Jonathan K. Kummerfeld, Joelle Pineau, Satinder Singh, Aaron C. Courville
Neural Information Processing Systems http://nips.cc/
Surrogate Objectives for Batch Policy Optimization in One-step Decision Making
Minmin Chen, Ramki Gummadi, Chris Harris, Dale Schuurmans
Whenrewardsare fully observed, we show that the expected reward objectiveexhibits suboptimal plateaus and exponentially many local optima in the worst case.
EfficientHighDimensionalBayesianOptimization withAdditivityandQuadratureFourierFeatures
Bayesian Optimization (BO) is a versatile method for global optimization of a black-box function using noisy point-wise observations.
MetaGAN: An Adversarial Approach to Few-Shot Learning
Ruixiang ZHANG, Tong Che, Zoubin Ghahramani, Yoshua Bengio, Yangqiu Song
Neural Information Processing Systems http://nips.cc/