Aurélie Beynier

Artificial Intelligence · 2014

A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 9 citations into it
• Reinforcement Learning — 8 citations into it

Whom Aurélie Beynier trusts overall

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

1. Tze Leung Lai
2. Shunzheng Yu
3. David Silver
4. Levente Kocsis
5. Kenji Doya
6. Bruno Castro da Silva
7. Richard S. Sutton
8. Martin L. Puterman
9. S. W. Ong

Who trusts Aurélie Beynier overall

1. Khimya Khetarpal
2. Pablo Hernandez-Leal
3. Erwan Lecarpentier
4. Matthew Riemer
5. Michael Kaisers

Papers from Aurélie Beynier's perspective

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

1. Reinforcement Learning: An Introduction
2. Dynamic Programming and Markov Processes
3. Bandit Based Monte-Carlo Planning
4. Multiple Model-Based Reinforcement Learning
5. Monte-Carlo Planning in Large POMDPs
6. SEQUENTIAL ANALYSIS: SOME CLASSICAL PROBLEMS AND NEW CHALLENGES
7. Planning under Uncertainty for Robotic Tasks with Mixed Observability
8. Hidden-Mode Markov Decision Processes for Nonstationary Sequential Decision Making
9. Sequential Tests of Statistical Hypotheses.
10. Dealing with non-stationary environments using context detection

Their papers

• Solving Hidden-Semi-Markov-Mode Markov Decision Problems (2014) — 17 citations
• Sequential Decision-Making under Non-stationary Environments via Sequential Change-point Detection (2014) — 34 citations