Alan W. Biermann

Reinforcement Learning · 1978–2003

A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 5 citations into it

Whom Alan W. Biermann trusts overall

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

1. Peter Auer
2. Michael Kearns
3. Robert E. Schapire

Who trusts Alan W. Biermann overall

1. Jude W. Shavlik
2. Emanuel Kitzelmann
3. Barret Zoph
4. Ramakanth Pasunuru
5. Quoc V. Le
6. Daniel A. Abolafia
7. Sumit Gulwani
8. Lihong Li
9. Mohit Bansal
10. Mohammad Norouzi

Papers from Alan W. Biermann's perspective

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

1. On the learnability of Boolean formulae
2. Using Confidence Bounds for Exploitation-Exploration Trade-offs
3. Learning Quickly When Irrelevant Attributes Abound: A New Linear-Threshold Algorithm
4. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
5. Reinforcement Learning: An Introduction
6. The Nonstochastic Multiarmed Bandit Problem
7. Toward Efficient Agnostic Learning
8. Pattern-recognizing stochastic learning automata
9. Inferring LISP Programs From Examples
10. Spoken Natural Language Dialog Systems: A Practical Approach

Their papers

• Reinforcement Learning with Immediate Rewards and Linear Hypotheses (2003) — 130 citations
• Speech-Graphics Dialogue Systems (1997)
• The Inference of Regular LISP Programs from Examples (1978)