Doina Precupb

Reinforcement Learning · 1999

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 11 citations into it

Whom Doina Precupb trusts overall

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

1. Richard S. Sutton
2. Ronald E. Parr
3. Longxin Lin
4. Sebastian Thrun
5. Satinder Singh
6. Doina Precup
7. Andrew Barto
8. G. Tesauro
9. Peter S. Dayan

Who trusts Doina Precupb overall

1. Adrien Baranes
2. Amy McGovern
3. Zhaohan Daniel Guo
4. Andrew M. Saxe
5. Pierre-Yves Oudeyer
6. Vitchyr H. Pong
7. Andrew Barto

Papers from Doina Precupb's perspective

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

1. Dynamic Programming and Markov Processes
2. Reinforcement Learning for Robots Using Neural Networks
3. Temporal Difference Learning and TD-Gammon
4. Automatic Programming of Behavior-Based Robots Using Reinforcement Learning
5. Learning to Act Using Real-Time Dynamic Programming
6. Reinforcement Learning with Hierarchies of Machines
7. Reinforcement Learning: An Introduction
8. TD Models: Modeling the World at a Mixture of Time Scales
9. Finding Structure in Reinforcement Learning
10. Gradient-based learning applied to document recognition

Their papers

• Between MDPs and semi-MDPs: A framework for temporal abstraction in reinforcement learning (1999)