Thomas L. Dean
Reinforcement Learning · with Boutilier · 1995–2019
A researcher in the Science corpus: 7 papers; trusts 10 researchers and is trusted by 31 researchers here, as inferred from the citation graph.
Subfields
- Reinforcement Learning — 15 citations into it; #768 of 2,242 by trust here, #778 by citations
Whom Thomas L. Dean trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- R. Fikes
- Craig Boutilier
- Richard Dearden
- Nils J. Nilsson
- Richard S. Sutton
- Martin L. Puterman
- Andrew Barto
- Ronald E. Parr
- David Chapman
- Kim Guldstrand Larsen
Who trusts Thomas L. Dean overall
- Craig Boutilier
- Thomas G. Dietterich
- William T. B. Uther
- Ronald E. Parr
- Michael L. Littman
- Manuela M. Veloso
- Nir Ben-Zrihem
- Elizabeth McGovern
- Vaishak Belle
- Daphne Koller
Papers from Thomas L. Dean's perspective
Ordered by how strongly the researchers Thomas L. Dean trusts endorse each paper. Same corpus, a different order for every researcher.
- Markov Decision Processes: Discrete Stochastic Dynamic Programming
- Dynamic Programming: Deterministic and Stochastic Models
- Modified Policy Iteration Algorithms for Discounted Markov Decision Problems
- Learning to Act Using Real-Time Dynamic Programming
- A survey of algorithmic methods for partially observed Markov decision processes
- Probabilistic reasoning in intelligent systems: Networks of plausible inference
- TD-Gammon, a Self-Teaching Backgammon Program, Achieves Master-Level Play
- Decision-Theoretic Planning: Structural Assumptions and Computational Leverage
- Stochastic dynamic programming with factored representations
- The Optimal Control of Partially Observable Markov Processes over a Finite Horizon
Their papers
- Equivalence notions and model minimization in Markov decision processes (2003) — 445 citations
- Bounded-parameter Markov decision processes (2000) — 353 citations
- Planning and control (2019) — 408 citations
- Decision-Theoretic Planning: Structural Assumptions and Computational Leverage (1999)
- Hierarchical Solution of Markov Decision Processes using Macro-actions (1998)
- Planning and Scheduling (1997)
- Decomposition Techniques for Planning in Stochastic Domains (1995)