3 papers
cs.AI2025
Grounding Natural Language for Multi-agent Decision-Making with Multi-agentic LLMs
Dom Huh, Prasant Mohapatra
Language is a ubiquitous tool that is foundational to reasoning and collaboration, ranging from everyday interactions to sophisticated problem-solving tasks. The establishment of a…
cs.LG2025
Multi-agent Auto-Bidding with Latent Graph Diffusion Models
Dom Huh, Prasant Mohapatra
This paper proposes a diffusion-based auto-bidding framework that leverages graph representations to model large-scale auction environments. In such settings, agents must dynamical…
cs.LG2025
Maximize Your Diffusion: A Study into Reward Maximization and Alignment for Diffusion-based Control
Dom Huh, Prasant Mohapatra
Diffusion-based planning, learning, and control methods present a promising branch of powerful and expressive decision-making solutions. Given the growing interest, such methods ha…