Weng-Keen Wong

Reinforcement Learning · with Moore · 1999

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 — 8 citations into it

Whom Weng-Keen Wong trusts overall

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

1. Ben J. A. Kröse

Who trusts Weng-Keen Wong overall

1. Jelle R. Kok
2. Paulina Varshavskaya
3. Carlos Guestrin
4. Mohammad Ghavamzadeh
5. Nikos A. Vlassis

Papers from Weng-Keen Wong's perspective

Ordered by how strongly the researchers Weng-Keen Wong trusts endorse each paper. Same corpus, a different order for every researcher.

1. Residual Algorithms: Reinforcement Learning with Function Approximation
2. Markov Games as a Framework for Multi-Agent Reinforcement Learning
3. Learning from delayed rewards
4. Stable Function Approximation in Dynamic Programming
5. Distributed reinforcement learning
6. Exploiting Model Uncertainty Estimates for Safe Dynamic Control Learning
7. Markov Decision Processes: Discrete Stochastic Dynamic Programming
8. A tutorial on hidden Markov models and selected applications in speech recognition
9. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
10. Information Theory: 1948-1998 - Guest Editorial

Their papers

• Distributed Value Functions (1999)