(More) Efficient Reinforcement Learning via Posterior Sampling

4 June 2013

Papers citing "(More) Efficient Reinforcement Learning via Posterior Sampling"

50 / 118 papers shown

Title
Are Large Language Models Reliable AI Scientists? Assessing Reverse-Engineering of Black-Box Systems Jiayi Geng Howard Chen Dilip Arumugam Thomas L. Griffiths 5 0 0 23 May 2025
Toward Efficient Exploration by Large Language Model Agents Dilip Arumugam Thomas L. Griffiths LLMAG 95 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
Reinforcement Learning from Multi-level and Episodic Human Feedback Muhammad Qasim Elahi Somtochukwu Oguchienti Maheed H. Ahmed Mahsa Ghasemi OffRL 57 0 0 20 Apr 2025
Minimax Optimal Reinforcement Learning with Quasi-Optimism Harin Lee Min-hwan Oh OffRL 64 1 0 02 Mar 2025
Online Planning of Power Flows for Power Systems Against Bushfires Using Spatial Context Jianyu Xu Qiuzhuang Sun Yang Yang Huadong Mo Daoyi Dong 88 0 0 24 Feb 2025
EVaDE : Event-Based Variational Thompson Sampling for Model-Based Reinforcement Learning Siddharth Aravindan Dixant Mittal Wee Sun Lee BDL 98 0 0 17 Jan 2025
Planning and Learning in Risk-Aware Restless Multi-Arm Bandit Problem Nima Akbarzadeh Erick Delage Yossiri Adulyasak 46 0 0 30 Oct 2024
Efficient Model-Based Reinforcement Learning Through Optimistic Thompson Sampling Jasmine Bayrooti Carl Henrik Ek Amanda Prorok 62 0 0 07 Oct 2024
SHIRE: Enhancing Sample Efficiency using Human Intuition in REinforcement Learning Amogh Joshi Adarsh Kosta Kaushik Roy OffRL 63 2 0 16 Sep 2024
Random Latent Exploration for Deep Reinforcement Learning Srinath Mahankali Zhang-Wei Hong Ayush Sekhari Alexander Rakhlin Pulkit Agrawal 59 3 0 18 Jul 2024
Optimistic Q-learning for average reward and episodic reinforcement learning Priyank Agrawal Shipra Agrawal 63 4 0 18 Jul 2024
Reinforcement Learning and Regret Bounds for Admission Control Lucas Weber A. Busic Jiamin Zhu 40 0 0 07 Jun 2024
Preparing for Black Swans: The Antifragility Imperative for Machine Learning Ming Jin 59 2 0 18 May 2024
Multi-Agent Probabilistic Ensembles with Trajectory Sampling for Connected Autonomous Vehicles Ruoqi Wen Jiahao Huang Rongpeng Li Guoru Ding Zhifeng Zhao 42 1 0 21 Dec 2023
Adaptive Interventions with User-Defined Goals for Health Behavior Change Aishwarya Mandyam Matthew Joerke William Denton Barbara E. Engelhardt Emma Brunskill 34 1 0 16 Nov 2023
Posterior Sampling-based Online Learning for Episodic POMDPs Dengwang Tang Dongze Ye Rahul Jain A. Nayyar Pierluigi Nuzzo OffRL 60 0 0 16 Oct 2023
Provably Efficient Exploration in Constrained Reinforcement Learning:Posterior Sampling Is All You Need Danil Provodin Pratik Gajane Mykola Pechenizkiy M. Kaptein 44 0 0 27 Sep 2023
Settling the Sample Complexity of Online Reinforcement Learning Zihan Zhang Yuxin Chen Jason D. Lee S. Du OffRL 98 22 0 25 Jul 2023
A Cover Time Study of a non-Markovian Algorithm Guanhua Fang G. Samorodnitsky Zhiqiang Xu 43 0 0 08 Jun 2023
Provable and Practical: Efficient Exploration in Reinforcement Learning via Langevin Monte Carlo Haque Ishfaq Qingfeng Lan Pan Xu A. R. Mahmood Doina Precup Anima Anandkumar Kamyar Azizzadenesheli BDL OffRL 35 20 0 29 May 2023
Bayesian Reinforcement Learning with Limited Cognitive Load Dilip Arumugam Mark K. Ho Noah D. Goodman Benjamin Van Roy OffRL 42 8 0 05 May 2023
Sharp Deviations Bounds for Dirichlet Weighted Sums with Application to analysis of Bayesian algorithms Denis Belomestny Pierre Menard A. Naumov D. Tiapkin Michal Valko 24 2 0 06 Apr 2023
Online Reinforcement Learning in Periodic MDP Ayush Aniket Arpan Chattopadhyay 33 2 0 16 Mar 2023
Wasserstein Actor-Critic: Directed Exploration via Optimism for Continuous-Actions Control Amarildo Likmeta Matteo Sacco Alberto Maria Metelli Marcello Restelli OffRL 31 3 0 04 Mar 2023
VIPeR: Provably Efficient Algorithm for Offline RL with Neural Function Approximation Thanh Nguyen-Tang R. Arora OffRL 58 5 0 24 Feb 2023
Model-Based Uncertainty in Value Functions Carlos E. Luis A. Bottero Julia Vinogradska Felix Berkenkamp Jan Peters 41 14 0 24 Feb 2023
Reinforcement Learning in the Wild with Maximum Likelihood-based Model Transfer Hannes Eriksson D. Basu Tommy Tram Mina Alibeigi Christos Dimitrakakis 26 1 0 18 Feb 2023
Learning How to Infer Partial MDPs for In-Context Adaptation and Exploration Chentian Jiang Nan Rosemary Ke Hado van Hasselt 21 3 0 08 Feb 2023
Sharp Variance-Dependent Bounds in Reinforcement Learning: Best of Both Worlds in Stochastic and Deterministic Environments Runlong Zhou Zihan Zhang S. Du 49 10 0 31 Jan 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
Decision-Focused Evaluation: Analyzing Performance of Deployed Restless Multi-Arm Bandits Paritosh Verma Shresth Verma Aditya Mate Aparna Taneja Milind Tambe 21 0 0 19 Jan 2023
A Bayesian Framework for Digital Twin-Based Control, Monitoring, and Data Collection in Wireless Systems Clement Ruah Osvaldo Simeone Bashir M. Al-Hashimi 38 28 0 02 Dec 2022
CIM: Constrained Intrinsic Motivation for Sparse-Reward Continuous Control Xiang Zheng Xingjun Ma Cong Wang 36 1 0 28 Nov 2022
On Rate-Distortion Theory in Capacity-Limited Cognition & Reinforcement Learning Dilip Arumugam Mark K. Ho Noah D. Goodman Benjamin Van Roy 42 4 0 30 Oct 2022
Knowledge-Guided Exploration in Deep Reinforcement Learning Sahisnu Mazumder Bing-Quan Liu Shuai Wang Yingxuan Zhu Xiaotian Yin Lifeng Liu Jian Li 50 4 0 26 Oct 2022
Opportunistic Episodic Reinforcement Learning Xiaoxiao Wang Nader Bouacida Xueying Guo Xin Liu 24 0 0 24 Oct 2022
Hardness in Markov Decision Processes: Theory and Practice Michelangelo Conserva Paulo E. Rauber 44 3 0 24 Oct 2022
On the Power of Pre-training for Generalization in RL: Provable Benefits and Hardness Haotian Ye Xiaoyu Chen Liwei Wang S. Du OffRL 37 6 0 19 Oct 2022
A Provably Efficient Model-Free Posterior Sampling Method for Episodic Reinforcement Learning Christoph Dann M. Mohri Tong Zhang Julian Zimmert OffRL 26 33 0 23 Aug 2022
Actor-Critic based Improper Reinforcement Learning Mohammadi Zaki Avinash Mohan Aditya Gopalan Shie Mannor 29 2 0 19 Jul 2022
Grounding Aleatoric Uncertainty for Unsupervised Environment Design Minqi Jiang Michael Dennis Jack Parker-Holder Andrei Lupu Heinrich Küttler Edward Grefenstette Tim Rocktaschel Jakob N. Foerster 51 13 0 11 Jul 2022
Offline RL Policies Should be Trained to be Adaptive Dibya Ghosh Anurag Ajay Pulkit Agrawal Sergey Levine OffRL 40 45 0 05 Jul 2022
Model-based RL with Optimistic Posterior Sampling: Structural Conditions and Sample Complexity Alekh Agarwal Tong Zhang 59 22 0 15 Jun 2022
Horizon-Free Reinforcement Learning in Polynomial Time: the Power of Stationary Policies Zihan Zhang Xiangyang Ji S. Du 35 21 0 24 Mar 2022
An Analysis of Ensemble Sampling Chao Qin Zheng Wen Xiuyuan Lu Benjamin Van Roy 49 22 0 02 Mar 2022
Sample-Efficient Reinforcement Learning with loglog(T) Switching Cost Dan Qiao Ming Yin Ming Min Yu Wang 48 28 0 13 Feb 2022
Differentially Private Regret Minimization in Episodic Markov Decision Processes Sayak Ray Chowdhury Xingyu Zhou 29 21 0 20 Dec 2021
Exploration-exploitation trade-off for continuous-time episodic reinforcement learning with linear-convex models Lukasz Szpruch Tanut Treetanthiploet Yufei Zhang 32 24 0 19 Dec 2021
Recent Advances in Reinforcement Learning in Finance B. Hambly Renyuan Xu Huining Yang OffRL 40 168 0 08 Dec 2021