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Derrik E. Asher

7 papers hereh-index 7179 citations23 works total

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

author position
  • first author1
  • middle author3
  • last author3

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • cs.MA3
  • cs.LG2
  • cs.AI1
  • cs.RO1
same name
  • Derrik E. Asher — 8 papers, h 7
  • Derrik E. Asher — 3 papers, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20212024
most citedSurvey of Recent Multi-Agent Reinforcement Learning Algorithms Utilizing Centralized Training

33 citations · 41 across the 6 of their papers we have counts for

collaborators
Showing cs.MAShow all

3 papers · 1 filter

cs.MA2024

Multi-Agent Synchronization Tasks

Rolando Fernandez, Garrett Warnell, Derrik E. Asher +1

In multi-agent reinforcement learning (MARL), coordination plays a crucial role in enhancing agents' performance beyond what they could achieve through cooperation alone. The inter…

cs.MA2022★ 8 cited

Strategic Maneuver and Disruption with Reinforcement Learning Approaches for Multi-Agent Coordination

Derrik E. Asher, Anjon Basak, Rolando Fernandez +9

Reinforcement learning (RL) approaches can illuminate emergent behaviors that facilitate coordination across teams of agents as part of a multi-agent system (MAS), which can provid…

cs.MA2021★ 33 cited

Survey of Recent Multi-Agent Reinforcement Learning Algorithms Utilizing Centralized Training

Piyush K. Sharma, Rolando Fernandez, Erin Zaroukian +3

Much work has been dedicated to the exploration of Multi-Agent Reinforcement Learning (MARL) paradigms implementing a centralized learning with decentralized execution (CLDE) appro…

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