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researcher

Amos Johnson

2 papers hereh-index 212 citations6 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
  • eess.SP1

identity via Semantic Scholar / OpenAlex

most citedRFRL Gym: A Reinforcement Learning Testbed for Cognitive Radio Applications

8 citations · 8 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2024

A Multi-Agent Reinforcement Learning Testbed for Cognitive Radio Applications

Sriniketh Vangaru, Daniel Rosen, Dylan Green +5

Technological trends show that Radio Frequency Reinforcement Learning (RFRL) will play a prominent role in the wireless communication systems of the future. Applications of RFRL ra…

eess.SP2023★ 8 cited

RFRL Gym: A Reinforcement Learning Testbed for Cognitive Radio Applications

Daniel Rosen, Illa Rochez, Caleb McIrvin +14

Radio Frequency Reinforcement Learning (RFRL) is anticipated to be a widely applicable technology in the next generation of wireless communication systems, particularly 6G and next…

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