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20162025
most citedRevisiting Zero-Shot Abstractive Summarization in the Era of Large Language Models from the Perspective of Position Bias

1 citations · 4 across the 7 of their papers we have counts for

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cs.MA2024

Representation Learning For Efficient Deep Multi-Agent Reinforcement Learning

Dom Huh, Prasant Mohapatra

Sample efficiency remains a key challenge in multi-agent reinforcement learning (MARL). A promising approach is to learn a meaningful latent representation space through auxiliary…

cs.MA2023

Decentralized Multi-agent Filtering

Dom Huh, Prasant Mohapatra

This paper addresses the considerations that comes along with adopting decentralized communication for multi-agent localization applications in discrete state spaces. In this frame…