Nikolaus H. R. Howe

Reinforcement Learning · 2022

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 16 citations into it
• Artificial Intelligence — 13 citations into it

Whom Nikolaus H. R. Howe trusts overall

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

1. Brian D. Ziebart
2. Andrew Y. Ng
3. Jan Leike

Who trusts Nikolaus H. R. Howe overall

1. Richard Ngo

Papers from Nikolaus H. R. Howe's perspective

Ordered by how strongly the researchers Nikolaus H. R. Howe trusts endorse each paper. Same corpus, a different order for every researcher.

1. Algorithms for Inverse Reinforcement Learning
2. Learning to summarize from human feedback
3. Scalable agent alignment via reward modeling: a research direction (arXiv.org)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet classification with deep convolutional neural networks
6. WebGPT: Browser-assisted question-answering with human feedback
7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
8. Modeling Purposeful Adaptive Behavior with the Principle of Maximum Causal Entropy
9. Attention is All you Need (Neural Information Processing Systems)
10. Reinforcement Learning: An Introduction

Their papers

• Defining and Characterizing Reward Hacking (2022) — 169 citations
• Defining and Characterizing Reward Gaming (2022) — 379 citations