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. 2410.13953
  4. Cited By
On Diffusion Models for Multi-Agent Partial Observability: Shared Attractors, Error Bounds, and Composite Flow

On Diffusion Models for Multi-Agent Partial Observability: Shared Attractors, Error Bounds, and Composite Flow

17 October 2024
Tonghan Wang
Heng Dong
Yanchen Jiang
David C. Parkes
Milind Tambe
    DiffM
ArXivPDFHTML

Papers citing "On Diffusion Models for Multi-Agent Partial Observability: Shared Attractors, Error Bounds, and Composite Flow"

2 / 2 papers shown
Title
BundleFlow: Deep Menus for Combinatorial Auctions by Diffusion-Based Optimization
BundleFlow: Deep Menus for Combinatorial Auctions by Diffusion-Based Optimization
Tonghan Wang
Yanchen Jiang
David C. Parkes
76
0
0
24 Feb 2025
Policy-to-Language: Train LLMs to Explain Decisions with Flow-Matching Generated Rewards
Policy-to-Language: Train LLMs to Explain Decisions with Flow-Matching Generated Rewards
Xinyi Yang
Liang Zeng
Heng Dong
C. Yu
X. Wu
H. Yang
Yu Wang
Milind Tambe
Tonghan Wang
58
2
0
18 Feb 2025
1