Alexander Hentschel
Reinforcement Learning · 2016–2017
A researcher in the Science corpus: 3 papers; trusts 16 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Reinforcement Learning — 34 citations into it
- Artificial Intelligence — 17 citations into it; #25,521 of 35,345 by trust here, #20,377 by citations
- Control and Systems Engineering — 7 citations into it
- Statistical Learning Theory — 5 citations into it
Whom Alexander Hentschel trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Richard S. Sutton
- Martin A. Riedmiller
- Geoffrey J. Gordon
- Niko Speybroeck
- Sebastian Thrun
- Stefan Depeweg
- Andrew Barto
- Ralph Neuneier
- Carl E. Rasmussen
- Stefan Faußer
Who trusts Alexander Hentschel overall
Papers from Alexander Hentschel's perspective
Ordered by how strongly the researchers Alexander Hentschel trusts endorse each paper. Same corpus, a different order for every researcher.
- Reinforcement Learning: An Introduction
- Human-level control through deep reinforcement learning
- Continuous control with deep reinforcement learning (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- The Arcade Learning Environment: An Evaluation Platform for General Agents
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- MuJoCo: A physics engine for model-based control
- Mastering the game of Go with deep neural networks and tree search
- Gradient-based learning applied to document recognition
- Learning Multiple Layers of Features from Tiny Images
Their papers
- A benchmark environment motivated by industrial control problems (2017) — 68 citations
- Batch reinforcement learning on the industrial benchmark: First experiences (2017) — 12 citations
- Particle swarm optimization for generating interpretable fuzzy reinforcement learning policies (2016) — 89 citations