Philipp Reist

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 14 citations into it; #26,363 of 35,345 by trust here, #24,417 by citations
• Reinforcement Learning — 11 citations into it

Whom Philipp Reist trusts overall

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

1. John Schulman
2. E. Todorov
3. Adam Stooke

Who trusts Philipp Reist overall

1. Gabriel B. Margolis

Papers from Philipp Reist's perspective

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

1. Proximal Policy Optimization Algorithms (arXiv.org)
2. MuJoCo: A physics engine for model-based control
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. ImageNet classification with deep convolutional neural networks
5. Long Short-Term Memory
6. High-Dimensional Continuous Control Using Generalized Advantage Estimation
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Gradient-based learning applied to document recognition
9. Attention is All you Need (Neural Information Processing Systems)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Learning to Walk in Minutes Using Massively Parallel Deep Reinforcement Learning (2021) — 1,008 citations