Nicolas Carrara

Reinforcement Learning · 2019

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 — 11 citations into it
• Artificial Intelligence — 10 citations into it
• Control and Systems Engineering — 5 citations into it

Whom Nicolas Carrara trusts overall

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

1. Martin A. Riedmiller
2. Peter Geibel
3. Damien Ernst
4. Fritz Wysotzki
5. Volodymyr Mnih
6. Yinlam Chow
7. Garud N. Iyengar
8. Eitan Altman
9. Richard Bellman
10. Pierre Geurts

Papers from Nicolas Carrara's perspective

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

1. Human-level control through deep reinforcement learning
2. Neural Fitted Q Iteration - First Experiences with a Data Efficient Neural Reinforcement Learning Method
3. Tree-Based Batch Mode Reinforcement Learning
4. Reinforcement Learning: An Introduction
5. Constrained Markov Decision Processes
6. Robust Dynamic Programming
7. ImageNet classification with deep convolutional neural networks
8. Gradient-based learning applied to document recognition
9. Robust Control of Markov Decision Processes with Uncertain Transition Matrices
10. Risk-Sensitive Reinforcement Learning Applied to Control under Constraints

Their papers

• Scaling up budgeted reinforcement learning (2019) — 4 citations