Marius-Constantin Dinu

Reinforcement Learning · 2022

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

Subfields

• Reinforcement Learning — 36 citations into it

Whom Marius-Constantin Dinu trusts overall

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

1. Richard S. Sutton
2. J. Urgen Schmidhuber
3. Sepp Hochreiter

Papers from Marius-Constantin Dinu's perspective

Ordered by how strongly the researchers Marius-Constantin Dinu trusts endorse each paper. Same corpus, a different order for every researcher.

1. Long Short-Term Memory
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Reinforcement Learning: An Introduction
4. ImageNet classification with deep convolutional neural networks
5. Human-level control through deep reinforcement learning
6. Gradient-based learning applied to document recognition
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Multitask Learning
9. Playing Atari with Deep Reinforcement Learning (arXiv.org)
10. Proximal Policy Optimization Algorithms (arXiv.org)

Their papers

• Reactive Exploration to Cope with Non-Stationarity in Lifelong Reinforcement Learning (2022) — 19 citations