Roben Delos Reyes

Reinforcement Learning · 2020

A researcher in the Science corpus: 2 papers; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 42 citations into it
• Artificial Intelligence — 35 citations into it
• Computational Theory and Mathematics — 6 citations into it
• Game & Decision Theory — 6 citations into it

Whom Roben Delos Reyes trusts overall

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

1. Tabish Rashid
2. Mikayel Samvelyan
3. Jakob N. Foerster
4. Ming Tan
5. Gregory Farquhar
6. Martin Lauer
7. Kyunghwan Son
8. Ryan J. Lowe
9. Frans Adriaan Oliehoek
10. Matthew J. Hausknecht

Papers from Roben Delos Reyes's perspective

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

1. Human-level control through deep reinforcement learning
2. Continuous control with deep reinforcement learning (International Conference on Learning Representations)
3. Long Short-Term Memory
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. ImageNet classification with deep convolutional neural networks
6. Attention is All you Need (Neural Information Processing Systems)
7. Gradient-based learning applied to document recognition
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Reinforcement Learning: An Introduction
10. Asynchronous Methods for Deep Reinforcement Learning

Their papers

• QTRAN++: Improved Value Transformation for Cooperative Multi-Agent Reinforcement Learning (2020) — 30 citations
• QOPT: Optimistic Value Function Decentralization for Cooperative Multi-Agent Reinforcement Learning (2020)