Diederik Marijn Roijers
Artificial Intelligence · 2013–2021
A researcher in the Science corpus: 4 papers; trusts 28 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 84 citations into it; #22,393 of 35,345 by trust here, #17,412 by citations
- Reinforcement Learning — 66 citations into it
- Computational Theory and Mathematics — 42 citations into it; #6,878 of 12,182 by trust here, #3,562 by citations
- Management Science and Operations Research — 24 citations into it
- Game & Decision Theory — 10 citations into it
- Economics and Econometrics — 9 citations into it
- Control and Systems Engineering — 8 citations into it
- Molecular Biology — 6 citations into it
Whom Diederik Marijn Roijers trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Daniel J. Lizotte
- Richard S. Sutton
- Martin L. Puterman
- Richard Bellman
- Istvan Szita
- Leslie Pack Kaelbling
- Ryuichi Oka
- Levente Kocsis
- Matthijs T. J. Spaan
- Sylvain Gelly
Who trusts Diederik Marijn Roijers overall
- Ozan Sener
- Chongjie Zhang
- Runzhe Yang
- Yinlam Chow
- Vladlen Koltun
- Julie Arnold Shah
- Patrick Mannion
- Krzysztof Czarnecki
- Roxana Rădulescu
- Xingyuan Sun
Papers from Diederik Marijn Roijers's perspective
Ordered by how strongly the researchers Diederik Marijn Roijers trusts endorse each paper. Same corpus, a different order for every researcher.
- Reinforcement Learning: An Introduction
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Human-level control through deep reinforcement learning
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
Their papers
- A Survey of Multi-Objective Sequential Decision-Making (2013) — 837 citations
- Multi-objective multi-agent decision making: a utility-based analysis and survey (2019) — 188 citations
- Ordered Preference Elicitation Strategies for Supporting Multi-Objective Decision Making (2018) — 54 citations
- A practical guide to multi-objective reinforcement learning and planning (2021) — 587 citations