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Local policy search with Bayesian optimization

Neural Information Processing Systems (NeurIPS), 2021

22 June 2021

Papers citing "Local policy search with Bayesian optimization"

26 / 26 papers shown

Title
Local Entropy Search over Descent Sequences for Bayesian Optimization David Stenger Armin Lindicke Alexander von Rohr Sebastian Trimpe 28 0 0 24 Nov 2025
MOBO-OSD: Batch Multi-Objective Bayesian Optimization via Orthogonal Search Directions Lam Ngo Huong Ha Jeffrey Chan Hongyu Zhang 64 0 0 23 Oct 2025
Refinery: Active Fine-tuning and Deployment-time Optimization for Contact-Rich Policies Bingjie Tang Iretiayo Akinola Jie Xu Bowen Wen Dieter Fox Gaurav Sukhatme Fabio Ramos Abhishek Gupta Yashraj S. Narang OffRL 60 0 0 13 Oct 2025
NeST-BO: Fast Local Bayesian Optimization via Newton-Step Targeting of Gradient and Hessian Information Wei-Ting Tang Akshay Kudva J. Paulson 68 0 0 07 Oct 2025
Enhancing Trust-Region Bayesian Optimization via Newton Methods Quanlin Chen Yiyu Chen Jing Huo Tianyu Ding Yang Gao Y. Chen 64 0 0 25 Aug 2025
DiffCoTune: Differentiable Co-Tuning for Cross-domain Robot ControlIEEE Robotics and Automation Letters (IEEE RA-L), 2025 Lokesh Krishna Sheng Cheng Junheng Li N. Hovakimyan Quan Nguyen 140 0 0 29 May 2025
ExOSITO: Explainable Off-Policy Learning with Side Information for Intensive Care Unit Blood Test OrdersACM Conference on Health, Inference, and Learning (CHIL), 2025 Zongliang Ji Andre Carlos Kajdacsy-Balla Amaral Anna Goldenberg Rahul G. Krishnan OffRL 172 0 0 24 Apr 2025
Safe Bayesian Optimization for the Control of High-Dimensional Embodied SystemsConference on Robot Learning (CoRL), 2024 Yunyue Wei Zeji Yi Hongda Li Saraswati Soedarmadji Yanan Sui 286 3 0 31 Dec 2024
Local Bayesian Optimization for Controller Tuning with Crash Constraints Alexander von Rohr David Stenger Dominik Scheurenberg Sebastian Trimpe 275 4 0 25 Nov 2024
Compatible Gradient Approximations for Actor-Critic Algorithms Baturay Saglam Zhuoran Yang 236 0 0 02 Sep 2024
Augmented Bayesian Policy Search Mahdi Kallel Debabrota Basu R. Akrour Carlo DÉramo 165 3 0 05 Jul 2024
A survey and benchmark of high-dimensional Bayesian optimization of discrete sequencesNeural Information Processing Systems (NeurIPS), 2024 Miguel González Duque Richard Michael Simon Bartels Yevgen Zainchkovskyy Søren Hauberg Wouter Boomsma 167 16 0 07 Jun 2024
Covariance-Adaptive Sequential Black-box Optimization for Diffusion Targeted Generation Yueming Lyu Kim yong Tan Yew-Soon Ong Ivor W. Tsang DiffM 257 2 0 02 Jun 2024
Minimizing UCB: a Better Local Search Strategy in Local Bayesian Optimization Zheyi Fan Wenyu Wang Szu Hui Ng Q. Hu 159 6 0 24 May 2024
CAGES: Cost-Aware Gradient Entropy Search for Efficient Local Multi-Fidelity Bayesian Optimization Wei-Ting Tang J. Paulson 193 3 0 13 May 2024
High-dimensional Bayesian Optimization via Covariance Matrix Adaptation Strategy Lam Ngo Huong Ha Jeffrey Chan Vu-Linh Nguyen Hongyu Zhang 160 5 0 05 Feb 2024
Vanilla Bayesian Optimization Performs Great in High Dimensions Carl Hvarfner E. Hellsten Luigi Nardi 370 59 0 03 Feb 2024
Practical First-Order Bayesian Optimization Algorithms Utkarsh Prakash Aryan Chollera Kushagra Khatwani P. K. J. Tejas Bodas 133 5 0 19 Jun 2023
The Behavior and Convergence of Local Bayesian OptimizationNeural Information Processing Systems (NeurIPS), 2023 Kaiwen Wu Kyurae Kim Roman Garnett Jacob R. Gardner 386 17 0 24 May 2023
Local Bayesian optimization via maximizing probability of descentNeural Information Processing Systems (NeurIPS), 2022 Quan Nguyen Kaiwen Wu Jacob R. Gardner Roman Garnett 160 29 0 21 Oct 2022
A Bayesian Optimization Framework for Finding Local Optima in Expensive Multi-Modal FunctionsEuropean Conference on Artificial Intelligence (ECAI), 2022 Yongsheng Mei Tian-Shing Lan Mahdi Imani Suresh Subramaniam GP 178 21 0 13 Oct 2022
DiffTune: Auto-Tuning through Auto-DifferentiationIEEE Transactions on robotics (TRO), 2022 Sheng Cheng Minkyung Kim Lin Song Chengyu Yang Zhuohuan Wu Shenlong Wang N. Hovakimyan 325 7 0 20 Sep 2022
Event-Triggered Time-Varying Bayesian Optimization Paul Brunzema Alexander von Rohr Friedrich Solowjow Sebastian Trimpe 206 10 0 23 Aug 2022
On Controller Tuning with Time-Varying Bayesian OptimizationIEEE Conference on Decision and Control (CDC), 2022 Paul Brunzema Alexander von Rohr Sebastian Trimpe 118 23 0 22 Jul 2022
HeterPS: Distributed Deep Learning With Reinforcement Learning Based Scheduling in Heterogeneous EnvironmentsFuture generations computer systems (FGCS), 2021 Ji Liu Zhihua Wu Dianhai Yu Yanjun Ma Danlei Feng Minxu Zhang Xinxuan Wu Xuefeng Yao Dejing Dou 184 58 0 20 Nov 2021
ES-ENAS: Efficient Evolutionary Optimization for Large Hybrid Search Spaces Xingyou Song K. Choromanski Jack Parker-Holder Yunhao Tang Qiuyi Zhang ... Deepali Jain Wenbo Gao Aldo Pacchiano Tamás Sarlós Yuxiang Yang 378 0 0 19 Jan 2021