Prashan Madumal

Artificial Intelligence · 2019

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Prashan Madumal trusts overall

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

  1. Joseph Y. Halpern
  2. Roger C. Schank
  3. Alison Cawsey
  4. Douglas Walton
  5. Tim Miller
  6. Judea Pearl
  7. Floris Bex
  8. Robert R. Hoffman
  9. Youri Coppens
  10. Zoe Juozapaitis

Who trusts Prashan Madumal overall

  1. Erika Puiutta
  2. Andreas Holzinger
  3. Raha Moraffah
  4. Thomas McGrath
  5. Eric M. S. P. Veith
  6. Giulia Vilone
  7. Q. Liao
  8. A. Yeung
  9. Anna Saranti
  10. Mansooreh Karami

Papers from Prashan Madumal's perspective

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

  1. Human-level control through deep reinforcement learning
  2. A dialogue system specification for explanation
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Causes and explanations: A structural-model approach
  5. Towards A Rigorous Science of Interpretable Machine Learning
  6. OpenAI Gym
  7. Causal Models: How People Think about the World and Its Alternatives
  8. Explanation Patterns: Understanding Mechanically and Creatively
  9. Minimal Sufficient Explanations for Factored Markov Decision Processes
  10. Why and why not explanations improve the intelligibility of context-aware intelligent systems

Their papers