Relu Patrascu

Reinforcement Learning · 2002

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

Subfields

• Reinforcement Learning — 10 citations into it

Whom Relu Patrascu trusts overall

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

1. Michael Kearns
2. Martin L. Puterman
3. Daphne Koller
4. Ronen I. Brafman
5. Carlos Guestrin

Who trusts Relu Patrascu overall

1. Lihong Li
2. Thiago D. Simão
3. Chao Yu
4. Thomas Degris
5. Matthijs T. J. Spaan

Papers from Relu Patrascu's perspective

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

1. Markov Decision Processes: Discrete Stochastic Dynamic Programming
2. Near-Optimal Reinforcement Learning in Polynomial Time
3. R-MAX - A General Polynomial Time Algorithm for Near-Optimal Reinforcement Learning
4. Efficient Reinforcement Learning in Factored MDPs
5. Decisions with Multiple Objectives: Preferences and Value Trade-Offs
6. Computing Factored Value Functions for Policies in Structured MDPs
7. Generalized polynomial approximations in Markovian decision processes
8. Linear Least-Squares algorithms for temporal difference learning
9. Multiagent Planning with Factored MDPs
10. Decisions with Multiple Objectives: Preferences and Value Tradeoffs

Their papers

• Algorithm-Directed Exploration for Model-Based Reinforcement Learning in Factored MDPs (2002) — 67 citations