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. 1205.2664
  4. Cited By
A Bayesian Sampling Approach to Exploration in Reinforcement Learning

A Bayesian Sampling Approach to Exploration in Reinforcement Learning

9 May 2012
J. Asmuth
Lihong Li
Michael L. Littman
A. Nouri
David Wingate
    BDL
ArXivPDFHTML

Papers citing "A Bayesian Sampling Approach to Exploration in Reinforcement Learning"

4 / 4 papers shown
Title
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
112
0
0
27 Apr 2025
Bayes Adaptive Monte Carlo Tree Search for Offline Model-based Reinforcement Learning
Bayes Adaptive Monte Carlo Tree Search for Offline Model-based Reinforcement Learning
Jiayu Chen
Wentse Chen
Jeff Schneider
OffRL
66
3
0
15 Oct 2024
Incremental Model-based Learners With Formal Learning-Time Guarantees
Incremental Model-based Learners With Formal Learning-Time Guarantees
Alexander L. Strehl
Lihong Li
Michael L. Littman
61
61
0
27 Jun 2012
Church: a language for generative models
Church: a language for generative models
Noah D. Goodman
Vikash K. Mansinghka
Daniel M. Roy
Keith Bonawitz
J. Tenenbaum
77
814
0
13 Jun 2012
1