Sergio Pastorello

Reinforcement Learning · 2000–2020

A researcher in the Science corpus: 3 papers; trusts 4 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 12 citations into it
• Artificial Intelligence — 11 citations into it

Whom Sergio Pastorello trusts overall

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

1. Trevor J. Hastie
2. Robert Tibshirani
3. Yacine Aït-Sahalia
4. Whitney K. Newey
5. Richard S. Sutton

Who trusts Sergio Pastorello overall

1. Jun Pan
2. Mikhail Chernov
3. Carmen Broto
4. Knut Heggland
5. Arnaud Gloter
6. Eric Ghysels
7. Esther Ruiz
8. Arnoldo Frigessi
9. M. Carrasco

Papers from Sergio Pastorello's perspective

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

1. Reinforcement Learning: An Introduction
2. Generalized Additive Models
3. Learning from delayed rewards
4. Multiagent cooperation and competition with deep reinforcement learning
5. Evolutionary Dynamics of Multi-Agent Learning: A Survey
6. Predicting How People Play Games: Reinforcement Learning in Experimental Games with Unique, Mixed Strategy Equilibria
7. Classes of Multiagent Q-learning Dynamics with epsilon-greedy Exploration
8. Regression Shrinkage and Selection via the Lasso
9. Estimating the Dimension of a Model
10. The Nature of Statistical Learning Theory

Their papers

• Artificial Intelligence, Algorithmic Pricing, and Collusion (2020) — 514 citations
• Iterative and Recursive Estimation in Structural Nonadaptive Models (2003) — 61 citations
• Statistical Inference for Random-Variance Option Pricing (2000) — 72 citations