Kevin D. Glazebrook

Reinforcement Learning · 2004–2011

A researcher in the Science corpus: 4 papers; trusts 2 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 6 citations into it

Whom Kevin D. Glazebrook trusts overall

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

1. John C. Gittins
2. Martin L. Puterman
3. T. L. Lai Andherbertrobbins

Who trusts Kevin D. Glazebrook overall

1. Guido Biele
2. Ido Erev
3. Peter I. Frazier
4. Keqin Liu

Papers from Kevin D. Glazebrook's perspective

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

1. Real-time queues in heavy traffic with earliest-deadline-first queue discipline
2. Asymptotically Efficient Adaptive Allocation Rules
3. Bandit processes and dynamic allocation indices
4. Multi-armed Bandit Allocation Indices
5. Discounted Dynamic Programming
6. OUTPATIENT SCHEDULING IN HEALTH CARE: A REVIEW OF LITERATURE
7. Exact finite approximations of average-cost countable Markov decision processes
8. The Linear Programming Approach to Approximate Dynamic Programming
9. Reinforcement learning
10. Modified Policy Iteration Algorithms for Discounted Markov Decision Problems

Their papers

• Multi-Armed Bandit Allocation Indices: Gittins/Multi-Armed Bandit Allocation Indices (2011) — 402 citations
• Some indexable families of restless bandit problems (2006) — 114 citations
• Inventory models with lateral transshipments: A review (2011) — 490 citations
• On the optimal allocation of service to impatient tasks (2004) — 49 citations