Erwan Lecarpentier

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 25 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 14 citations into it
• Reinforcement Learning — 12 citations into it
• Management Science and Operations Research — 6 citations into it

Whom Erwan Lecarpentier trusts overall

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

1. Richard S. Sutton
2. Cédric Villani
3. Martin A. Dufwenberg
4. Ryuichi Oka
5. Jason Pazis
6. Andrew Barto
7. Robert D. Kleinberg
8. Daniel L. Silver
9. Matteo Pirotta
10. Emmanuel Hadoux

Who trusts Erwan Lecarpentier overall

1. Christian Alexander Steinparz
2. Thomas Schmied

Papers from Erwan Lecarpentier's perspective

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

1. Reinforcement Learning: An Introduction
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
7. Attention is All you Need (Neural Information Processing Systems)
8. Between MDPs and Semi-MDPs: A Framework for Temporal Abstraction in Reinforcement Learning
9. Long Short-Term Memory
10. Markov Decision Processes: Discrete Stochastic Dynamic Programming

Their papers

• Non-Stationary Markov Decision Processes a Worst-Case Approach using Model-Based Reinforcement Learning (2019) — 100 citations