Mohammad-Bagher Naghibi-Sistani

Computational Theory and Mathematics · 2009–2014

A researcher in the Science corpus: 4 papers; trusts 18 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Mohammad-Bagher Naghibi-Sistani trusts overall

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

  1. Frank L. Lewis
  2. Longxin Lin
  3. Draguna L. Vrabie
  4. Kenji Doya
  5. Pawel Wawrzynski
  6. Richard S. Sutton
  7. Murad Abu-Khalaf
  8. Girish V. Chowdhary
  9. Andrew Barto
  10. Shivaram Kalyanakrishnan

Who trusts Mohammad-Bagher Naghibi-Sistani overall

  1. Derong Liu
  2. Hamidreza Modares
  3. Ding Wang
  4. Frank L. Lewis

Papers from Mohammad-Bagher Naghibi-Sistani's perspective

Ordered by how strongly the researchers Mohammad-Bagher Naghibi-Sistani trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Reinforcement Learning: An Introduction
  2. Batch reinforcement learning in a complex domain
  3. Approximate dynamic programming: solving the curses of dimensionality
  4. Real-time reinforcement learning by sequential Actor-Critics and experience replay
  5. Experience Replay for Real-Time Reinforcement Learning Control
  6. Reinforcement Learning in Continuous Time and Space
  7. Neural network approach to continuous-time direct adaptive optimal control for partially unknown nonlinear systems (Neural Networks)
  8. Continuous glucose monitoring: roadmap for 21st century diabetes therapy. (Diabetes Care)
  9. Dynamic Programming and Markov Processes
  10. Learning from delayed rewards

Their papers