Matthijs T. J. Spaan
Artificial Intelligence · 2002–2019
A researcher in the Science corpus: 12 papers; trusts 73 researchers and is trusted by 63 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 56 citations into it; #3,355 of 35,345 by trust here, #7,858 by citations
- Reinforcement Learning — 55 citations into it; #785 of 2,242 by trust here, #1,139 by citations
- Computer Networks and Communications — 23 citations into it
- Management Science and Operations Research — 21 citations into it; #893 of 11,946 by trust here, #3,457 by citations
- Computational Theory and Mathematics — 15 citations into it; #4,361 of 12,182 by trust here, #6,798 by citations
- Algorithms & Complexity — 8 citations into it
- Game & Decision Theory — 8 citations into it; #79 of 249 by trust here, #89 by citations
- Optimization & Training — 7 citations into it
Whom Matthijs T. J. Spaan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Richard S. Sutton
- Martin L. Puterman
- Sebastian Thrun
- Michael L. Littman
- Shlomo Zilberstein
- Frans Adriaan Oliehoek
- Andrew Barto
- Daniel S. Bernstein
- Andrew Y. Ng
- Sven Seuken
Who trusts Matthijs T. J. Spaan overall
- Frans Adriaan Oliehoek
- Francisco S. Melo
- Nikos A. Vlassis
- Chris Amato
- Joelle Pineau
- Shimon Whiteson
- Stéphane Ross
- Mohammad Ghavamzadeh
- Jakob N. Foerster
- Pascal Poupart
Papers from Matthijs T. J. Spaan's perspective
Ordered by how strongly the researchers Matthijs T. J. Spaan trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Reinforcement Learning: An Introduction
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- GENERATIVE ADVERSARIAL NETS
Their papers
- Perseus: Randomized Point-based Value Iteration for POMDPs (2005) — 785 citations
- QueryPOMDP: POMDP-Based Communication in Multiagent Systems (2011) — 33 citations
- Decentralized planning under uncertainty for teams of communicating agents (2006) — 75 citations
- Scaling Up Optimal Heuristic Search in Dec-POMDPs via Incremental Expansion (2011) — 55 citations
- Safe Policy Improvement with Baseline Bootstrapping in Factored Environments (2019) — 26 citations
- Structure Learning for Safe Policy Improvement (2019) — 9 citations
- Exploiting Agent and Type Independence in Collaborative Graphical Bayesian Games (2011) — 3 citations
- Heuristic search for identical payoff Bayesian games (2010) — 37 citations
- Lossless clustering of histories in decentralized POMDPs (2009) — 52 citations
- Optimal and Approximate Q-value Functions for Decentralized POMDPs (2008) — 582 citations
- Point-Based Value Iteration for Continuous POMDPs (2006) — 210 citations
- High level coordination of agents based on multiagent Markov decision processes with roles (2002) — 29 citations