John M. Allen

Reinforcement Learning · 2018

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

Subfields

• Reinforcement Learning — 20 citations into it; #2,090 of 2,242 by trust here, #1,253 by citations
• Computer Vision and Pattern Recognition — 19 citations into it

Whom John M. Allen trusts

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

1. Dean A. Pomerleau (in Computer Vision and Pattern Recognition)

Who trusts John M. Allen

1. Edouard Leurent (in Reinforcement Learning)
2. Praveen Palanisamy (in Artificial Intelligence)

Papers from John M. Allen's perspective

Ordered by how strongly the researchers John M. Allen trusts endorse each paper. Same corpus, a different order for every researcher.

1. Et al
2. Asynchronous Methods for Deep Reinforcement Learning
3. Reinforcement Learning: An Introduction
4. Trust Region Policy Optimization (International Conference on Machine Learning)
5. Continuous control with deep reinforcement learning (International Conference on Learning Representations)
6. Stochastic Backpropagation and Approximate Inference in Deep Generative Models
7. Backpropagation Applied to Handwritten Zip Code Recognition
8. Policy Gradient Methods for Reinforcement Learning with Function Approximation
9. AUTO-ENCODING VARIATIONAL BAYES
10. Prioritized Experience Replay

Their papers

• Learning to Drive in a Day (2018) — 800 citations