papers
Publications (9)
cs.LG2019
Provably Robust Blackbox Optimization for Reinforcement Learning
Krzysztof Choromanski, Aldo Pacchiano, Jack Parker-Holder +6
math.OC2019
From Complexity to Simplicity: Adaptive ES-Active Subspaces for Blackbox Optimization
Krzysztof Choromanski, Aldo Pacchiano, Jack Parker-Holder +1
cs.LG2017
Variational Deep Q Network
Yunhao Tang, Alp Kucukelbir
cs.LG2019
Augment-Reinforce-Merge Policy Gradient for Binary Stochastic Policy
Yunhao Tang, Mingzhang Yin, Mingyuan Zhou
cs.LG2019
Implicit Policy for Reinforcement Learning
Yunhao Tang, Shipra Agrawal
cs.AI2019
Boosting Trust Region Policy Optimization by Normalizing Flows Policy
Yunhao Tang, Shipra Agrawal
cs.LG2018
Exploration by Distributional Reinforcement Learning
Yunhao Tang, Shipra Agrawal
cs.LG2019
Structured Monte Carlo Sampling for Nonisotropic Distributions via Determinantal Point Processes
Krzysztof Choromanski, Aldo Pacchiano, Jack Parker-Holder +1
stat.ML2019
Orthogonal Estimation of Wasserstein Distances
Mark Rowland, Jiri Hron, Yunhao Tang +3