ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2011.04018
  4. Cited By
Online Sparse Reinforcement Learning

Online Sparse Reinforcement Learning

8 November 2020
Botao Hao
Tor Lattimore
Csaba Szepesvári
Mengdi Wang
    OffRL
ArXivPDFHTML

Papers citing "Online Sparse Reinforcement Learning"

8 / 8 papers shown
Title
Imitation Learning in Discounted Linear MDPs without exploration
  assumptions
Imitation Learning in Discounted Linear MDPs without exploration assumptions
Luca Viano
Stratis Skoulakis
V. Cevher
30
3
0
03 May 2024
Does Sparsity Help in Learning Misspecified Linear Bandits?
Does Sparsity Help in Learning Misspecified Linear Bandits?
Jialin Dong
Lin F. Yang
22
1
0
29 Mar 2023
Improved Regret Bounds for Linear Adversarial MDPs via Linear
  Optimization
Improved Regret Bounds for Linear Adversarial MDPs via Linear Optimization
Fang-yuan Kong
Xiangcheng Zhang
Baoxiang Wang
Shuai Li
26
12
0
14 Feb 2023
Provable Benefits of Representational Transfer in Reinforcement Learning
Provable Benefits of Representational Transfer in Reinforcement Learning
Alekh Agarwal
Yuda Song
Wen Sun
Kaiwen Wang
Mengdi Wang
Xuezhou Zhang
OffRL
21
33
0
29 May 2022
Transferred Q-learning
Transferred Q-learning
Elynn Y. Chen
Michael I. Jordan
Sai Li
OffRL
OnRL
28
4
0
09 Feb 2022
Reinforcement Learning in Linear MDPs: Constant Regret and
  Representation Selection
Reinforcement Learning in Linear MDPs: Constant Regret and Representation Selection
Matteo Papini
Andrea Tirinzoni
Aldo Pacchiano
Marcello Restelli
A. Lazaric
Matteo Pirotta
19
18
0
27 Oct 2021
Representation Learning for Online and Offline RL in Low-rank MDPs
Representation Learning for Online and Offline RL in Low-rank MDPs
Masatoshi Uehara
Xuezhou Zhang
Wen Sun
OffRL
62
126
0
09 Oct 2021
Provably Efficient Reinforcement Learning with Linear Function
  Approximation Under Adaptivity Constraints
Provably Efficient Reinforcement Learning with Linear Function Approximation Under Adaptivity Constraints
Chi Jin
Zhuoran Yang
Zhaoran Wang
OffRL
122
166
0
06 Jan 2021
1