Jim Duggan

Reinforcement Learning · 2013–2017

A researcher in the Science corpus: 3 papers; trusts 11 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 14 citations into it
• Artificial Intelligence — 10 citations into it
• Computer Networks and Communications — 6 citations into it; #7,960 of 9,886 by trust here, #8,191 by citations
• Computational Theory and Mathematics — 5 citations into it

Whom Jim Duggan trusts overall

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

1. Ben J. A. Kröse
2. Lucian Busoniu
3. Sam Devlin
4. Kagan Tumer
5. Malabika Basu
6. Robert Babuška

Who trusts Jim Duggan overall

1. Assaf Hallak

Papers from Jim Duggan's perspective

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

1. Markov Decision Processes: Discrete Stochastic Dynamic Programming
2. If multi-agent learning is the answer, what is the question?
3. Learning from delayed rewards
4. Learning to Drive a Bicycle Using Reinforcement Learning and Shaping
5. Policy Invariance Under Reward Transformations: Theory and Application to Reward Shaping
6. Technical Note: Q-Learning
7. Distributed agent-based air traffic flow management
8. An Introduction to MultiAgent Systems
9. Theoretical considerations of potential-based reward shaping for multi-agent systems
10. Empirical evaluation methods for multiobjective reinforcement learning algorithms (Machine-mediated learning)

Their papers

• A Theoretical and Empirical Analysis of Reward Transformations in Multi-Objective Stochastic Games (2017) — 11 citations
• Policy invariance under reward transformations for multi-objective reinforcement learning (2017) — 57 citations
• Applying reinforcement learning towards automating resource allocation and application scalability in the cloud (2013) — 238 citations