Francisco Elizalde

Reinforcement Learning · 2007–2009

A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 5 citations into it

Whom Francisco Elizalde trusts overall

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

1. Martin L. Puterman
2. Ryuichi Oka
3. Marek J Druzdzel
4. Craig Boutilier
5. Robert Givan
6. Thomas L. Dean
7. Marvin Minsky

Who trusts Francisco Elizalde overall

1. Bradley Hayes
2. Ning Wang

Papers from Francisco Elizalde's perspective

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

1. Probabilistic reasoning in intelligent systems: Networks of plausible inference
2. Markov Decision Processes: Discrete Stochastic Dynamic Programming
3. Abstraction and Approximate Decision-Theoretic Planning
4. Equivalence notions and model minimization in Markov decision processes
5. A framework for representing knowledge
6. Dynamic Programming
7. Kommunikation mit Automaten
8. Dynamic Programming and Markov Processes
9. Modified Policy Iteration Algorithms for Discounted Markov Decision Problems
10. Reinforcement learning

Their papers

• Generating Explanations Based on Markov Decision Processes (2009) — 21 citations
• Policy Explanation in Factored Markov Decision Processes (2008)
• An MDP Approach for Explanation Generation (2007) — 30 citations