Nir Lipovetzky

Artificial Intelligence · 2015–2019

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 19 citations into it; #30,592 of 35,345 by trust here, #31,361 by citations
• Computer Vision and Pattern Recognition — 7 citations into it
• Computer Networks and Communications — 6 citations into it
• Reinforcement Learning — 6 citations into it; #1,547 of 2,242 by trust here, #1,973 by citations

Whom Nir Lipovetzky trusts overall

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

1. Dimitri P. Bertsekas
2. Malte Helmert
3. Joel Lehman
4. Levente Kocsis
5. Silvia Richter
6. Marc G. Bellemare
7. Volodymyr Mnih
8. Kenneth O. Stanley
9. Csaba Szepesvari
10. Matthias Westphal

Who trusts Nir Lipovetzky overall

1. Hector Geffner
2. Yuu Jinnai
3. Yitao Liang
4. Alex S. Fukunaga
5. Blai Bonet
6. Marlos C. Machado

Papers from Nir Lipovetzky's perspective

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

1. Playing Atari with Deep Reinforcement Learning (arXiv.org)
2. The Arcade Learning Environment: An Evaluation Platform for General Agents
3. Gradient-based learning applied to document recognition
4. ImageNet classification with deep convolutional neural networks
5. Reinforcement Learning: An Introduction
6. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
7. Bandit Based Monte-Carlo Planning
8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
9. Neuro-Dynamic Programming
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• An Introduction to the Planning Domain Definition Language (2019) — 290 citations
• Classical Planning with Simulators: Results on the Atari Video Games (2015) — 89 citations