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. 2505.17610
  4. Cited By
Learning Equilibria from Data: Provably Efficient Multi-Agent Imitation Learning

Learning Equilibria from Data: Provably Efficient Multi-Agent Imitation Learning

23 May 2025
Till Freihaut
Luca Viano
Volkan Cevher
Matthieu Geist
Giorgia Ramponi
ArXiv (abs)PDFHTML

Papers citing "Learning Equilibria from Data: Provably Efficient Multi-Agent Imitation Learning"

1 / 1 papers shown
Title
Optimistically Optimistic Exploration for Provably Efficient Infinite-Horizon Reinforcement and Imitation Learning
Optimistically Optimistic Exploration for Provably Efficient Infinite-Horizon Reinforcement and Imitation Learning
Antoine Moulin
Gergely Neu
Luca Viano
119
3
0
19 Feb 2025
1