Andrés Bueno-Crespo

Computational Theory and Mathematics · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computational Theory and Mathematics — 12 citations into it
• Organic Chemistry — 5 citations into it

Whom Andrés Bueno-Crespo trusts

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

1. W. L. Jorgensen (in Computational Theory and Mathematics)

Papers from Andrés Bueno-Crespo's perspective

Ordered by how strongly the researchers Andrés Bueno-Crespo trusts endorse each paper. Same corpus, a different order for every researcher.

1. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
2. Human-level control through deep reinforcement learning
3. Reinforcement Learning: An Introduction
4. Playing Atari with Deep Reinforcement Learning (arXiv.org)
5. Mastering the game of Go with deep neural networks and tree search
6. End-to-End Training of Deep Visuomotor Policies
7. Mastering the game of Go without human knowledge
8. ImageNet classification with deep convolutional neural networks
9. Long Short-Term Memory
10. Gradient-based learning applied to document recognition

Their papers

• Accelerating Drugs Discovery with Deep Reinforcement Learning: An Early Approach (2018) — 8 citations
• Coupling machine-learning techniques with SWAT model for instantaneous peak flow prediction (2019) — 73 citations