Mark H. Phillips
2009
A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Mark H. Phillips trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Mark H. Phillips's perspective
Ordered by how strongly the researchers Mark H. Phillips trusts endorse each paper. Same corpus, a different order for every researcher.
- Dynamic Programming and Optimal Control, Two Volume Set
- Approximate Dynamic Programming
- Reinforcement learning
- Linear Least-Squares algorithms for temporal difference learning
- Practical Issues in Temporal Difference Learning
- Learning from delayed rewards
- Learning to Act Using Real-Time Dynamic Programming
- The O.D.E. Method for Convergence of Stochastic Approximation and Reinforcement Learning
- Adaptive Algorithms and Stochastic Approximations
- Stochastic approximation algorithms and applications