M. Isabel Ribeiro

Reinforcement Learning · 2008

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 11 citations into it
• Artificial Intelligence — 6 citations into it; #11,723 of 35,345 by trust here, #18,186 by citations

Whom M. Isabel Ribeiro trusts overall

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

1. Dimitri P. Bertsekas
2. Ben J. A. Kröse
3. Doina Precup
4. Satinder Singh
5. Csaba Szepesvari
6. Richard S. Sutton
7. Theodore J. Perkins
8. Tommi S. Jaakkola

Who trusts M. Isabel Ribeiro overall

1. Lucian Busoniu
2. Lin F. Yang
3. Devavrat Shah
4. Yusen Zhan

Papers from M. Isabel Ribeiro's perspective

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

1. Residual Algorithms: Reinforcement Learning with Function Approximation
2. On the Convergence of Stochastic Iterative Dynamic Programming Algorithms
3. Learning from delayed rewards
4. Neuro-Dynamic Programming
5. An Analysis of Temporal-Difference Learning with Function Approximation
6. Off-Policy Temporal Difference Learning with Function Approximation
7. Reinforcement Learning with Soft State Aggregation
8. Convergence Results for Single-Step On-Policy Reinforcement-Learning Algorithms
9. Markov Chains and Stochastic Stability
10. Kernel-Based Reinforcement Learning

Their papers

• An analysis of reinforcement learning with function approximation (2008) — 288 citations