José L. Abellán

Computational Theory and Mathematics · 2018

A researcher in the Science corpus: 1 paper; 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 José L. Abellán trusts

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

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

Papers from José L. Abellán's perspective

Ordered by how strongly the researchers José L. Abellán 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. Mastering the game of Go with deep neural networks and tree search
5. Playing Atari with Deep Reinforcement Learning (arXiv.org)
6. End-to-End Training of Deep Visuomotor Policies
7. Mastering the game of Go without human knowledge
8. Rainbow: Combining Improvements in Deep Reinforcement Learning
9. Deep learning in neural networks: An overview
10. End to End Learning for Self-Driving Cars

Their papers

• Accelerating Drugs Discovery with Deep Reinforcement Learning: An Early Approach (2018) — 8 citations