Learning to Optimize Via Posterior Sampling

11 January 2013

Papers citing "Learning to Optimize Via Posterior Sampling"

50 / 147 papers shown

Title
Toward Efficient Exploration by Large Language Model Agents Dilip Arumugam Thomas L. Griffiths LLMAG 94 1 0 29 Apr 2025
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 93 0 0 27 Apr 2025
Online Planning of Power Flows for Power Systems Against Bushfires Using Spatial Context Jianyu Xu Qiuzhuang Sun Yang Yang Huadong Mo Daoyi Dong 83 0 0 24 Feb 2025
Improved Regret Analysis in Gaussian Process Bandits: Optimality for Noiseless Reward, RKHS norm, and Non-Stationary Variance S. Iwazaki Shion Takeno 85 1 0 10 Feb 2025
Causal Discovery via Bayesian Optimization Bao Duong Sunil Gupta Thin Nguyen 55 0 0 28 Jan 2025
Improved Regret of Linear Ensemble Sampling Harin Lee Min-hwan Oh 42 1 0 06 Nov 2024
Planning and Learning in Risk-Aware Restless Multi-Arm Bandit Problem Nima Akbarzadeh Erick Delage Yossiri Adulyasak 43 0 0 30 Oct 2024
Optimizing Posterior Samples for Bayesian Optimization via Rootfinding Taiwo A. Adebiyi Bach Do Ruda Zhang 114 2 0 29 Oct 2024
HR-Bandit: Human-AI Collaborated Linear Recourse Bandit Junyu Cao Ruijiang Gao Esmaeil Keyvanshokooh 45 1 0 18 Oct 2024
Advances in Preference-based Reinforcement Learning: A Review Youssef Abdelkareem Shady Shehata Fakhri Karray OffRL 56 10 0 21 Aug 2024
Bayesian Bandit Algorithms with Approximate Inference in Stochastic Linear Bandits Ziyi Huang Henry Lam Haofeng Zhang 38 0 0 20 Jun 2024
Gaussian Approximation and Multiplier Bootstrap for Polyak-Ruppert Averaged Linear Stochastic Approximation with Applications to TD Learning S. Samsonov Eric Moulines Qi-Man Shao Zhuo-Song Zhang Alexey Naumov 38 4 0 26 May 2024
The Power of Active Multi-Task Learning in Reinforcement Learning from Human Feedback Ruitao Chen Liwei Wang 75 1 0 18 May 2024
Bayesian Off-Policy Evaluation and Learning for Large Action Spaces Imad Aouali Victor-Emmanuel Brunel David Rohde Anna Korba OffRL 41 5 0 22 Feb 2024
Incentivized Exploration via Filtered Posterior Sampling Anand Kalvit Aleksandrs Slivkins Yonatan Gur 29 1 0 20 Feb 2024
On Sample-Efficient Offline Reinforcement Learning: Data Diversity, Posterior Sampling, and Beyond Thanh Nguyen-Tang Raman Arora OffRL 44 3 0 06 Jan 2024
Posterior Sampling-based Online Learning for Episodic POMDPs Dengwang Tang Dongze Ye Rahul Jain A. Nayyar Pierluigi Nuzzo OffRL 57 0 0 16 Oct 2023
Pseudo-Bayesian Optimization Haoxian Chen Henry Lam 39 2 0 15 Oct 2023
Cost-Efficient Online Decision Making: A Combinatorial Multi-Armed Bandit Approach Arman Rahbar Niklas Åkerblom M. Chehreghani 33 0 0 21 Aug 2023
VITS : Variational Inference Thompson Sampling for contextual bandits Pierre Clavier Tom Huix Alain Durmus 32 3 0 19 Jul 2023
Geometry-Aware Approaches for Balancing Performance and Theoretical Guarantees in Linear Bandits Yuwei Luo Mohsen Bayati 26 1 0 26 Jun 2023
Incentivizing Exploration with Linear Contexts and Combinatorial Actions Mark Sellke 34 3 0 03 Jun 2023
Multi-objective optimisation via the R2 utilities Ben Tu N. Kantas Robert M. Lee B. Shafei 229 3 0 19 May 2023
Kullback-Leibler Maillard Sampling for Multi-armed Bandits with Bounded Rewards Hao Qin Kwang-Sung Jun Chicheng Zhang 46 0 0 28 Apr 2023
Simulating Gaussian vectors via randomized dimension reduction and PCA N. Kahalé 35 0 0 14 Apr 2023
Thompson Sampling for Linear Bandit Problems with Normal-Gamma Priors Björn Lindenberg Karl-Olof Lindahl 30 0 0 06 Mar 2023
Algorithm Selection for Deep Active Learning with Imbalanced Datasets Jifan Zhang Shuai Shao Saurabh Verma Robert D. Nowak 33 20 0 14 Feb 2023
Randomized Gaussian Process Upper Confidence Bound with Tighter Bayesian Regret Bounds Shion Takeno Yu Inatsu Masayuki Karasuyama 35 13 0 03 Feb 2023
STEERING: Stein Information Directed Exploration for Model-Based Reinforcement Learning Souradip Chakraborty Amrit Singh Bedi Alec Koppel Mengdi Wang Furong Huang Dinesh Manocha 24 8 0 28 Jan 2023
Tight Guarantees for Interactive Decision Making with the Decision-Estimation Coefficient Dylan J. Foster Noah Golowich Yanjun Han OffRL 36 29 0 19 Jan 2023
Multi-Task Off-Policy Learning from Bandit Feedback Joey Hong Branislav Kveton S. Katariya Manzil Zaheer Mohammad Ghavamzadeh OffRL 37 10 0 09 Dec 2022
Monte Carlo Tree Search Algorithms for Risk-Aware and Multi-Objective Reinforcement Learning Conor F. Hayes Mathieu Reymond D. Roijers Enda Howley Patrick Mannion 26 4 0 23 Nov 2022
Distributed Resource Allocation for URLLC in IIoT Scenarios: A Multi-Armed Bandit Approach Francesco Pase M. Giordani Giampaolo Cuozzo Sara Cavallero J. Eichinger Roberto Verdone M. Zorzi 34 9 0 22 Nov 2022
Bayesian Fixed-Budget Best-Arm Identification Alexia Atsidakou S. Katariya Sujay Sanghavi Branislav Kveton 35 11 0 15 Nov 2022
Robust Contextual Linear Bandits Rong Zhu Branislav Kveton 27 3 0 26 Oct 2022
A Self-Play Posterior Sampling Algorithm for Zero-Sum Markov Games Wei Xiong Han Zhong Chengshuai Shi Cong Shen Tong Zhang 66 18 0 04 Oct 2022
A Provably Efficient Model-Free Posterior Sampling Method for Episodic Reinforcement Learning Christoph Dann M. Mohri Tong Zhang Julian Zimmert OffRL 23 33 0 23 Aug 2022
Delayed Feedback in Generalised Linear Bandits Revisited Benjamin Howson Ciara Pike-Burke Sarah Filippi 10 14 0 21 Jul 2022
Graph Neural Network Bandits Parnian Kassraie Andreas Krause Ilija Bogunovic 38 11 0 13 Jul 2022
POEM: Out-of-Distribution Detection with Posterior Sampling Yifei Ming Ying Fan Yixuan Li OODD 44 114 0 28 Jun 2022
How to talk so AI will learn: Instructions, descriptions, and autonomy T. Sumers Robert D. Hawkins Mark K. Ho Thomas Griffiths Dylan Hadfield-Menell LM&Ro 43 20 0 16 Jun 2022
Finite-Time Regret of Thompson Sampling Algorithms for Exponential Family Multi-Armed Bandits Tianyuan Jin Pan Xu X. Xiao Anima Anandkumar 49 12 0 07 Jun 2022
Bandit Theory and Thompson Sampling-Guided Directed Evolution for Sequence Optimization Hui Yuan Chengzhuo Ni Huazheng Wang Xuezhou Zhang Le Cong Csaba Szepesvári Mengdi Wang 28 2 0 05 Jun 2022
Surrogate modeling for Bayesian optimization beyond a single Gaussian process Qin Lu Konstantinos D. Polyzos Bingcong Li G. Giannakis GP 38 18 0 27 May 2022
Lifting the Information Ratio: An Information-Theoretic Analysis of Thompson Sampling for Contextual Bandits Gergely Neu Julia Olkhovskaya Matteo Papini Ludovic Schwartz 44 16 0 27 May 2022
Multi-Environment Meta-Learning in Stochastic Linear Bandits Ahmadreza Moradipari Mohammad Ghavamzadeh Taha Rajabzadeh Christos Thrampoulidis M. Alizadeh 24 4 0 12 May 2022
Non-Stationary Bandit Learning via Predictive Sampling Yueyang Liu Kuang Xu Benjamin Van Roy 28 19 0 04 May 2022
Rate-Constrained Remote Contextual Bandits Francesco Pase Deniz Gündüz M. Zorzi 39 8 0 26 Apr 2022
Stochastic Conservative Contextual Linear Bandits Jiabin Lin Xian Yeow Lee Talukder Jubery Shana Moothedath Soumik Sarkar Baskar Ganapathysubramanian 16 7 0 29 Mar 2022
Truncated LinUCB for Stochastic Linear Bandits Yanglei Song Meng zhou 52 0 0 23 Feb 2022