Deep Bayesian Quadrature Policy Optimization

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Deep Bayesian Quadrature Policy Optimization

28 June 2020

Akella Ravi Tej

Kamyar Azizzadenesheli

Mohammad Ghavamzadeh

Anima Anandkumar

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Papers citing "Deep Bayesian Quadrature Policy Optimization"

10 / 10 papers shown

Title
On the Theory of Policy Gradient Methods: Optimality, Approximation, and Distribution Shift Alekh Agarwal Sham Kakade Jason D. Lee G. Mahajan 72 321 0 01 Aug 2019
A Closer Look at Deep Policy Gradients Andrew Ilyas Logan Engstrom Shibani Santurkar Dimitris Tsipras Firdaus Janoos Larry Rudolph Aleksander Madry 81 51 0 06 Nov 2018
Convergence Analysis of Deterministic Kernel-Based Quadrature Rules in Misspecified Settings Motonobu Kanagawa Bharath K. Sriperumbudur Kenji Fukumizu 87 45 0 01 Sep 2017
OpenAI Gym Greg Brockman Vicki Cheung Ludwig Pettersson Jonas Schneider John Schulman Jie Tang Wojciech Zaremba OffRL ODL 225 5,087 0 05 Jun 2016
Deep Kernel Learning A. Wilson Zhiting Hu Ruslan Salakhutdinov Eric Xing BDL 256 888 0 06 Nov 2015
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 330 13,295 0 09 Sep 2015
Frank-Wolfe Bayesian Quadrature: Probabilistic Integration with Theoretical Guarantees François‐Xavier Briol Chris J. Oates Mark Girolami Michael A. Osborne 113 90 0 08 Jun 2015
High-Dimensional Continuous Control Using Generalized Advantage Estimation John Schulman Philipp Moritz Sergey Levine Michael I. Jordan Pieter Abbeel OffRL 135 3,442 0 08 Jun 2015
Probabilistic Numerics and Uncertainty in Computations Philipp Hennig Michael A. Osborne Mark Girolami 76 307 0 03 Jun 2015
Kernel Interpolation for Scalable Structured Gaussian Processes (KISS-GP) A. Wilson H. Nickisch GP 86 515 0 03 Mar 2015