Richard Mealing

Artificial Intelligence · 2013–2017

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Richard Mealing trusts overall

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

  1. Peter Auer
  2. Martin A. Zinkevich
  3. Michael H. Bowling
  4. Michael L. Littman
  5. Ben J. A. Kröse
  6. Nicolò Cesa-Bianchi
  7. Michael Bradley Johanson
  8. Chongjie Zhang

Who trusts Richard Mealing overall

  1. Stefano V. Albrecht
  2. Jakob N. Foerster
  3. Peter Stone
  4. Maruan Al-Shedivat
  5. Richard Y. Chen

Papers from Richard Mealing's perspective

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

  1. Markov Games as a Framework for Multi-Agent Reinforcement Learning
  2. Learning from delayed rewards
  3. Regret Minimization in Games with Incomplete Information
  4. Finite-time Analysis of the Multiarmed Bandit Problem
  5. Reinforcement Learning: An Introduction
  6. Gradient-based learning applied to document recognition
  7. ImageNet classification with deep convolutional neural networks
  8. Markov Decision Processes: Discrete Stochastic Dynamic Programming
  9. Asynchronous Methods for Deep Reinforcement Learning
  10. Policy Gradient Methods for Reinforcement Learning with Function Approximation

Their papers