Q-learning with Nearest Neighbors

12 February 2018

Papers citing "Q-learning with Nearest Neighbors"

19 / 19 papers shown

Title
Convergence Rates for Stochastic Approximation: Biased Noise with Unbounded Variance, and Applications Rajeeva Laxman Karandikar M. Vidyasagar 30 8 0 05 Dec 2023
Memory-Consistent Neural Networks for Imitation Learning Kaustubh Sridhar Souradeep Dutta Dinesh Jayaraman James Weimer Insup Lee 44 8 0 09 Oct 2023
q-Learning in Continuous Time Yanwei Jia X. Zhou OffRL 51 70 0 02 Jul 2022
The Efficacy of Pessimism in Asynchronous Q-Learning Yuling Yan Gen Li Yuxin Chen Jianqing Fan OffRL 78 40 0 14 Mar 2022
A Statistical Analysis of Polyak-Ruppert Averaged Q-learning Xiang Li Wenhao Yang Jiadong Liang Zhihua Zhang Michael I. Jordan 45 15 0 29 Dec 2021
The Surprising Effectiveness of Representation Learning for Visual Imitation Jyothish Pari Nur Muhammad (Mahi) Shafiullah Sridhar Pandian Arunachalam Lerrel Pinto SSL 25 161 0 02 Dec 2021
Q-Learning for MDPs with General Spaces: Convergence and Near Optimality via Quantization under Weak Continuity A. D. Kara Naci Saldi S. Yüksel 38 27 0 12 Nov 2021
Adaptive Discretization in Online Reinforcement Learning Sean R. Sinclair Siddhartha Banerjee Chao Yu OffRL 45 15 0 29 Oct 2021
Coarse-Grained Smoothness for RL in Metric Spaces Giorgio Giannone Kavosh Asadi Cameron Allen Sam Lobel George Konidaris Michael Littman 47 3 0 23 Oct 2021
Is Q-Learning Minimax Optimal? A Tight Sample Complexity Analysis Gen Li Changxiao Cai Ee Yuting Wei Yuejie Chi OffRL 55 75 0 12 Feb 2021
Finite-Time Analysis for Double Q-learning Huaqing Xiong Linna Zhao Yingbin Liang Wei Zhang 25 31 0 29 Sep 2020
Adaptive Discretization for Model-Based Reinforcement Learning Sean R. Sinclair Tianyu Wang Gauri Jain Siddhartha Banerjee Chao Yu OffRL 19 21 0 01 Jul 2020
Multi-Agent Reinforcement Learning in Stochastic Networked Systems Yiheng Lin Guannan Qu Longbo Huang Adam Wierman 34 38 0 11 Jun 2020
Breaking the Sample Size Barrier in Model-Based Reinforcement Learning with a Generative Model Gen Li Yuting Wei Yuejie Chi Yuxin Chen 34 125 0 26 May 2020
On Reinforcement Learning for Turn-based Zero-sum Markov Games Devavrat Shah Varun Somani Qiaomin Xie Zhi Xu 21 11 0 25 Feb 2020
Mean-Field Controls with Q-learning for Cooperative MARL: Convergence and Complexity Analysis Haotian Gu Xin Guo Xiaoli Wei Renyuan Xu 32 65 0 10 Feb 2020
Learning When-to-Treat Policies Xinkun Nie Emma Brunskill Stefan Wager CML OffRL 11 89 0 23 May 2019
Non-Asymptotic Analysis of Monte Carlo Tree Search Devavrat Shah Qiaomin Xie Zhi Xu 19 9 0 14 Feb 2019
Finite-Sample Analysis for SARSA with Linear Function Approximation Shaofeng Zou Tengyu Xu Yingbin Liang 32 146 0 06 Feb 2019