Katja Hofmann

Artificial Intelligence · with Colas · 2020

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 44 citations into it
• Reinforcement Learning — 28 citations into it

Whom Katja Hofmann trusts overall

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

1. Jeffrey L. Elman

Papers from Katja Hofmann's perspective

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

1. Reinforcement Learning: An Introduction
2. Hindsight Experience Replay
3. Unifying Count-Based Exploration and Intrinsic Motivation
4. Distributed Prioritized Experience Replay
5. Learning and development in neural networks: the importance of starting small.
6. Transfer Learning for Reinforcement Learning Domains: A Survey
7. ImageNet classification with deep convolutional neural networks
8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
9. Learning by Playing - Solving Sparse Reward Tasks from Scratch
10. Prioritized sweeping: Reinforcement learning with less data and less time

Their papers

• Automatic Curriculum Learning For Deep RL: A Short Survey (2020) — 235 citations