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. 2006.09646
  4. Cited By
Parameterized MDPs and Reinforcement Learning Problems -- A Maximum
  Entropy Principle Based Framework

Parameterized MDPs and Reinforcement Learning Problems -- A Maximum Entropy Principle Based Framework

17 June 2020
Amber Srivastava
S. Salapaka
ArXivPDFHTML

Papers citing "Parameterized MDPs and Reinforcement Learning Problems -- A Maximum Entropy Principle Based Framework"

1 / 1 papers shown
Title
Bridging the Gap between Newton-Raphson Method and Regularized Policy
  Iteration
Bridging the Gap between Newton-Raphson Method and Regularized Policy Iteration
Zeyang Li
Chuxiong Hu
Yunan Wang
Guojian Zhan
Jie Li
Shengbo Eben Li
32
0
0
11 Oct 2023
1