João Pedro Battistella Nadas

Aerospace Engineering · 2018

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom João Pedro Battistella Nadas trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Richard S. Sutton
  2. Akram Al-Hourani
  3. Elham Kalantari
  4. Andrew Barto

Papers from João Pedro Battistella Nadas's perspective

Ordered by how strongly the researchers João Pedro Battistella Nadas trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Reinforcement Learning: An Introduction
  2. Playing Atari with Deep Reinforcement Learning (arXiv.org)
  3. Modeling air-to-ground path loss for low altitude platforms in urban environments (2014 IEEE Global Communications Conference)
  4. Reinforcement Learning: A Survey
  5. Drone Small Cells in the Clouds: Design, Deployment and Performance Analysis (Global Communications Conference)
  6. Unmanned Aerial Vehicle With Underlaid Device-to-Device Communications: Performance and Tradeoffs
  7. UAV assisted heterogeneous networks for public safety communications (2015 IEEE Wireless Communications and Networking Conference Workshops (WCNCW))
  8. On the Number and 3D Placement of Drone Base Stations in Wireless Cellular Networks (IEEE Vehicular Technology Conference)
  9. 3-D Placement of an Unmanned Aerial Vehicle Base Station (UAV-BS) for Energy-Efficient Maximal Coverage (IEEE Wireless Communications Letters)
  10. Designing and implementing future aerial communication networks (IEEE Communications Magazine)

Their papers