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Local policy search with Bayesian optimization

22 June 2021

Papers citing "Local policy search with Bayesian optimization"

23 / 23 papers shown

Title
Safe Bayesian Optimization for the Control of High-Dimensional Embodied Systems Yunyue Wei Zeji Yi Hongda Li Saraswati Soedarmadji Yanan Sui 73 0 0 31 Dec 2024
Compatible Gradient Approximations for Actor-Critic Algorithms Baturay Saglam Dionysis Kalogerias 105 0 0 02 Sep 2024
Bayesian Optimization with Adaptive Kernels for Robot Control Ruben Martinez-Cantin 41 38 0 10 Feb 2024
Cautious Bayesian Optimization for Efficient and Scalable Policy Search Lukas P. Frohlich Melanie Zeilinger Edgar D. Klenske OffRL 67 13 0 18 Nov 2020
Learning Search Space Partition for Black-box Optimization using Monte Carlo Tree Search Linnan Wang Rodrigo Fonseca Yuandong Tian 72 127 0 01 Jul 2020
Parameter-Based Value Functions Francesco Faccio Louis Kirsch Jürgen Schmidhuber OffRL 55 25 0 16 Jun 2020
Better Exploration with Optimistic Actor-Critic K. Ciosek Q. Vuong R. Loftin Katja Hofmann 65 154 0 28 Oct 2019
Scalable Global Optimization via Local Bayesian Optimization Samyam Rajbhandari Michael Pearce Jacob R. Gardner Ryan D. Turner Matthias Poloczek 86 465 0 03 Oct 2019
GPyTorch: Blackbox Matrix-Matrix Gaussian Process Inference with GPU Acceleration Jacob R. Gardner Geoff Pleiss D. Bindel Kilian Q. Weinberger A. Wilson GP 136 1,100 0 28 Sep 2018
Gait learning for soft microrobots controlled by light fields Alexander von Rohr Sebastian Trimpe A. Marco P. Fischer S. Palagi 114 17 0 10 Sep 2018
Optimization, fast and slow: optimally switching between local and Bayesian optimization Mark McLeod Michael A. Osborne Stephen J. Roberts 43 42 0 22 May 2018
Addressing Function Approximation Error in Actor-Critic Methods Scott Fujimoto H. V. Hoof David Meger OffRL 180 5,187 0 26 Feb 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine 311 8,352 0 04 Jan 2018
Least-Squares Temporal Difference Learning for the Linear Quadratic Regulator Stephen Tu Benjamin Recht OffRL 64 131 0 22 Dec 2017
On the Sample Complexity of the Linear Quadratic Regulator Sarah Dean Horia Mania Nikolai Matni Benjamin Recht Stephen Tu 73 578 0 04 Oct 2017
Bayesian Optimization with Gradients Jian Wu Matthias Poloczek A. Wilson P. Frazier 56 210 0 13 Mar 2017
Max-value Entropy Search for Efficient Bayesian Optimization Zi Wang Stefanie Jegelka 165 412 0 06 Mar 2017
Automatic LQR Tuning Based on Gaussian Process Global Optimization A. Marco Philipp Hennig Jeannette Bohg S. Schaal Sebastian Trimpe 41 162 0 06 May 2016
A General Framework for Constrained Bayesian Optimization using Information-based Search José Miguel Hernández-Lobato M. Gelbart Ryan P. Adams Matthew W. Hoffman Zoubin Ghahramani 50 165 0 30 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 320 13,248 0 09 Sep 2015
Trust Region Policy Optimization John Schulman Sergey Levine Philipp Moritz Michael I. Jordan Pieter Abbeel 277 6,776 0 19 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.9K 150,115 0 22 Dec 2014
Entropy Search for Information-Efficient Global Optimization Philipp Hennig Christian J. Schuler 118 673 0 06 Dec 2011