Joel Hoff

1996

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Joel Hoff trusts overall

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

1. Teuvo Kohonen
2. Arthur L. Samuel
3. Sridhar Mahadevan

Papers from Joel Hoff's perspective

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

1. Automatic Programming of Behavior-Based Robots Using Reinforcement Learning
2. Some Studies in Machine Learning Using the Game of Checkers
3. Self-Organization and Associative Memory
4. Neuronlike adaptive elements that can solve difficult learning control problems
5. Self-organizing systems : the emergence of order
6. Residual Algorithms: Reinforcement Learning with Function Approximation
7. Dynamic Programming and Markov Processes
8. Linear Least-Squares algorithms for temporal difference learning
9. Parallel and distributed computation
10. Stable Function Approximation in Dynamic Programming

Their papers

• Rapid Reinforcement Learning for Reactive Control Policy Design for Autonomous Robots (1996)