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. 2403.20250
  4. Cited By
Optimal Policy Learning with Observational Data in Multi-Action
  Scenarios: Estimation, Risk Preference, and Potential Failures

Optimal Policy Learning with Observational Data in Multi-Action Scenarios: Estimation, Risk Preference, and Potential Failures

29 March 2024
Giovanni Cerulli
    OffRL
ArXivPDFHTML

Papers citing "Optimal Policy Learning with Observational Data in Multi-Action Scenarios: Estimation, Risk Preference, and Potential Failures"

1 / 1 papers shown
Title
Convergence Guarantees for Deep Epsilon Greedy Policy Learning
Convergence Guarantees for Deep Epsilon Greedy Policy Learning
Michael Rawson
R. Balan
16
6
0
02 Dec 2021
1