Dom Huh

According to our database, Dom Huh authored at least 12 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Grounding Natural Language for Multi-agent Decision-Making with Multi-agentic LLMs.

Dom Huh, Prasant Mohapatra

CoRR, August, 2025

Multi-agent Auto-Bidding with Latent Graph Diffusion Models.

Dom Huh, Prasant Mohapatra

CoRR, March, 2025

Maximize Your Diffusion: A Study into Reward Maximization and Alignment for Diffusion-based Control.

Dom Huh, Prasant Mohapatra

CoRR, February, 2025

2024

Representation Learning For Efficient Deep Multi-Agent Reinforcement Learning.

Dom Huh, Prasant Mohapatra

CoRR, 2024

2023

Multi-agent Reinforcement Learning: A Comprehensive Survey.

Dom Huh, Prasant Mohapatra

CoRR, 2023

Decentralized Multi-agent Filtering.

Dom Huh, Prasant Mohapatra

CoRR, 2023

2021

Mix and Mask Actor-Critic Methods.

Dom Huh

CoRR, 2021

Synthetic Embedding-based Data Generation Methods for Student Performance.

Dom Huh

CoRR, 2021

Synthetic Embedding-based Data Generation Methods for Student Performance.

Dom Huh, Huzefa Rangwala

Proceedings of the Joint Proceedings of the Workshops at the International Conference on Educational Data Mining 2021 co-located with 14th International Conference on Educational Data Mining (EDM 2021), 2021

2020

Greedy Bandits with Sampled Context.

Dom Huh

CoRR, 2020

Hierarchical BiGraph Neural Network as Recommendation Systems.

Dom Huh

CoRR, 2020

Generative Multi-Stream Architecture For American Sign Language Recognition.

Dom Huh, Sai Gurrapu, Frederick Olson, Huzefa Rangwala, Parth H. Pathak, Jana Kosecka

CoRR, 2020