Lucas Lehnert

Reinforcement Learning · 2015–2018

A researcher in the Science corpus: 3 papers; trusts 30 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 41 citations into it
• Artificial Intelligence — 15 citations into it
• Statistical Learning Theory — 5 citations into it

Whom Lucas Lehnert trusts overall

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

1. Richard S. Sutton
2. Leemon C. Baird III
3. Hamid Reza Maei
4. Christopher J. C. H. Watkins
5. Andrew Barto
6. Peter S. Dayan
7. Christoph Dann
8. Satinder Singh
9. Doina Precup
10. Csaba Szepesvari

Who trusts Lucas Lehnert overall

1. Rasool Fakoor

Papers from Lucas Lehnert's perspective

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

1. Reinforcement Learning: An Introduction
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Markov Decision Processes: Discrete Stochastic Dynamic Programming
8. Residual Algorithms: Reinforcement Learning with Function Approximation
9. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
10. Policy Gradient Methods for Reinforcement Learning with Function Approximation

Their papers

• Policy Gradient Methods for Off-policy Control (2015) — 4 citations
• State Abstractions for Lifelong Reinforcement Learning (2018) — 140 citations
• Toward Good Abstractions for Lifelong Learning (2017)