Michael S. Branicky

Reinforcement Learning · 2000–2021

A researcher in the Science corpus: 8 papers; trusts 9 researchers and is trusted by 50 researchers here, as inferred from the citation graph.

Subfields

Whom Michael S. Branicky trusts overall

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

  1. Andrew Barto
  2. Kenji Doya
  3. Steven M. LaValle
  4. Richard S. Sutton
  5. James J. Kuffner Jr.
  6. Philip S. Thomas
  7. Stefan Schaal
  8. K. Ragnarsson
  9. Sven Koenig
  10. Christopher G. Atkeson

Who trusts Michael S. Branicky overall

  1. João Pedra Hespanha
  2. Payam Naghshtabrizi
  3. Lixian Zhang
  4. Kyoung-Dae Kim
  5. Hai Lin
  6. Huijun Gao
  7. N. El‐Farra
  8. Andrew R. Teel
  9. Alexandre Seuret
  10. Philip Thomas

Papers from Michael S. Branicky's perspective

Ordered by how strongly the researchers Michael S. Branicky trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Policy Invariance Under Reward Transformations: Theory and Application to Reward Shaping
  2. Reinforcement Learning: A Survey
  3. Reinforcement learning
  4. Reinforcement Learning in the Multi-Robot Domain
  5. Reinforcement Learning in Continuous Time and Space
  6. Randomized Kinodynamic Planning
  7. Path planning using lazy PRM (Proceedings 2000 ICRA. Millennium Conference. IEEE International Conference on Robotics and Automation. Symposia Proceedings (Cat. No.00CH37065))
  8. Learning from human-generated reward
  9. D*lite (AAAI/IAAI)
  10. Reinforcement learning from simultaneous human and MDP reward

Their papers