Esther Levin
Reinforcement Learning · 1988–2000
A researcher in the Science corpus: 4 papers; trusts 4 researchers and is trusted by 24 researchers here, as inferred from the citation graph.
Subfields
- Reinforcement Learning — 5 citations into it; #1,437 of 2,242 by trust here, #1,750 by citations
Whom Esther Levin trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Leslie Pack Kaelbling
- Michael L. Littman
- G. Tesauro
- Andrew W. Moore
- Frederick Jelinek
- Richard S. Sutton
Who trusts Esther Levin overall
- Iulian Serban
- Susannah Young
- Jiwei Li
- Zachary Chase Lipton
- Jianfeng Gao
- Johannes Pittermann
- Milica Gasic
- Oliver Lemon
- Jason Williams
- Yoshua Bengio
Papers from Esther Levin's perspective
Ordered by how strongly the researchers Esther Levin trusts endorse each paper. Same corpus, a different order for every researcher.
- TD-Gammon, a Self-Teaching Backgammon Program, Achieves Master-Level Play
- Fundamentals of speech recognition
- Continuous speech recognition by statistical methods
- Markov Decision Processes: Discrete Stochastic Dynamic Programming
- Residual Algorithms: Reinforcement Learning with Function Approximation
- Policy Gradient Methods for Reinforcement Learning with Function Approximation
- Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
- Continuous control with deep reinforcement learning (International Conference on Learning Representations)
- Between MDPs and Semi-MDPs: A Framework for Temporal Abstraction in Reinforcement Learning
- Learning from delayed rewards
Their papers
- A stochastic model of human-machine interaction for learning dialog strategies (2000) — 617 citations
- A stochastic model of computer-human interaction for learning dialogue strategies (1997)
- Learning dialogue strategies within the Markov decision process framework (1997)
- Accelerated Learning in Layered Neural Networks (1988)