Hugo Gimbert

2016

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Hugo Gimbert trusts overall

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

1. Damien Ernst
2. Jan Peters
3. Lucian Busoniu
4. Stefan Schaal
5. Pierre Geurts

Papers from Hugo Gimbert's perspective

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

1. Tree-Based Batch Mode Reinforcement Learning
2. Reinforcement Learning and Dynamic Programming Using Function Approximators
3. Reinforcement learning of motor skills with policy gradients
4. Reinforcement Learning: An Introduction
5. Markov Decision Processes: Discrete Stochastic Dynamic Programming
6. Reinforcement Learning: A Survey
7. ImageNet classification with deep convolutional neural networks
8. Stable Function Approximation in Dynamic Programming
9. Linear Least-Squares algorithms for temporal difference learning
10. Least-Squares Policy Iteration

Their papers

• Online Reinforcement Learning for Real-Time Exploration in Continuous State and Action Markov Decision Processes (2016) — 5 citations