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researcher

Joshua Hoffman

2 papers hereh-index 492 citations5 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.LG1
  • cs.RO1

identity via Semantic Scholar / OpenAlex

most citedMacro-Action-Based Deep Multi-Agent Reinforcement Learning

10 citations · 12 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2020★ 10 cited

Macro-Action-Based Deep Multi-Agent Reinforcement Learning

Yuchen Xiao, Joshua Hoffman, Christopher Amato

In real-world multi-robot systems, performing high-quality, collaborative behaviors requires robots to asynchronously reason about high-level action selection at varying time durat…

cs.RO2019★ 2 cited

Learning Multi-Robot Decentralized Macro-Action-Based Policies via a Centralized Q-Net

Yuchen Xiao, Joshua Hoffman, Tian Xia +1

In many real-world multi-robot tasks, high-quality solutions often require a team of robots to perform asynchronous actions under decentralized control. Decentralized multi-agent r…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.