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Data-efficient Domain Randomization with Bayesian Optimization
v1v2v3v4 (latest)

Data-efficient Domain Randomization with Bayesian Optimization

IEEE Robotics and Automation Letters (RA-L), 2020
5 March 2020
Fabio Muratore
C. Eilers
Michael Gienger
Jan Peters
    OOD
ArXiv (abs)PDFHTML

Papers citing "Data-efficient Domain Randomization with Bayesian Optimization"

50 / 50 papers shown
Exploring the Link Between Bayesian Inference and Embodied Intelligence: Toward Open Physical-World Embodied AI Systems
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AURA: Autonomous Upskilling with Retrieval-Augmented Agents
AURA: Autonomous Upskilling with Retrieval-Augmented Agents
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Yusuke Tanaka
Andrew Goldberg
Dennis W. Hong
384
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Combining Bayesian Inference and Reinforcement Learning for Agent Decision Making: A Review
Combining Bayesian Inference and Reinforcement Learning for Agent Decision Making: A Review
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Ville Kyrki
Pasi Fränti
Laura Ruotsalainen
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481
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12 May 2025
Explainable AI the Latest Advancements and New Trends
Explainable AI the Latest Advancements and New Trends
Bowen Long
Enjie Liu
Renxi Qiu
Yanqing Duan
XAI
797
6
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11 May 2025
Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments
Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments
Yun Qu
Wenjie Wang
Yixiu Mao
Yiqin Lv
Xiangyang Ji
TTA
587
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27 Apr 2025
ASAP: Aligning Simulation and Real-World Physics for Learning Agile Humanoid Whole-Body Skills
ASAP: Aligning Simulation and Real-World Physics for Learning Agile Humanoid Whole-Body Skills
Tairan He
J. Gao
Wenli Xiao
Yujiao Shi
Zi Wang
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Jessica Hodgins
Linxi Fan
Yuke Zhu
Changliu Liu
Guanya Shi
696
162
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03 Feb 2025
EARL-BO: Reinforcement Learning for Multi-Step Lookahead,
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EARL-BO: Reinforcement Learning for Multi-Step Lookahead, High-Dimensional Bayesian Optimization
Mujin Cheon
Jay H. Lee
Dong-Yeun Koh
Calvin Tsay
309
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31 Oct 2024
Transfer Learning for a Class of Cascade Dynamical Systems
Transfer Learning for a Class of Cascade Dynamical SystemsAmerican Control Conference (ACC), 2024
Shima Rabiei
Sandipan Mishra
Santiago Paternain
148
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09 Oct 2024
Domains as Objectives: Domain-Uncertainty-Aware Policy Optimization
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Domains as Objectives: Domain-Uncertainty-Aware Policy Optimization through Explicit Multi-Domain Convex Coverage Set Learning
Wendyam Eric Lionel Ilboudo
Taisuke Kobayashi
Takamitsu Matsubara
271
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Augmented Bayesian Policy Search
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Mahdi Kallel
Debabrota Basu
R. Akrour
Carlo DÉramo
220
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Optimal Gait Design for a Soft Quadruped Robot via Multi-fidelity
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Kaige Tan
Xuezhi Niu
Qinglei Ji
Lei Feng
Martin Törngren
261
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Sim-to-Real Transfer of Deep Reinforcement Learning Agents for Online Coverage Path Planning
Sim-to-Real Transfer of Deep Reinforcement Learning Agents for Online Coverage Path PlanningIEEE Access (IEEE Access), 2024
Arvi Jonnarth
Ola Johansson
Jie Zhao
Michael Felsberg
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DrEureka: Language Model Guided Sim-To-Real Transfer
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Yecheng Jason Ma
William Liang
Hung-Ju Wang
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Linxi Fan
Osbert Bastani
Dinesh Jayaraman
374
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Learning-based legged locomotion; state of the art and future
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Learning-based legged locomotion; state of the art and future perspectives
Sehoon Ha
Joonho Lee
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Zhaoming Xie
Wenhao Yu
Majid Khadiv
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176
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Feiyang Wu
Xavier Nal
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430
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A Comprehensive Survey of Cross-Domain Policy Transfer for Embodied
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