Vinny Cahill

Artificial Intelligence · 2003–2013

A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 6 citations into it
• Reinforcement Learning — 6 citations into it

Whom Vinny Cahill trusts overall

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

1. Peter Stone
2. Matthew E. Taylor

Who trusts Vinny Cahill overall

1. Denzil Ferreira
2. Matthias Baldauf

Papers from Vinny Cahill's perspective

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

1. Transfer Learning for Reinforcement Learning Domains: A Survey
2. Multiagent Systems: A Survey from a Machine Learning Perspective
3. Accelerating Reinforcement Learning by Composing Solutions of Automatically Identified Subtasks
4. THE MEANINGS OF TRUST
5. A Survey on Transfer Learning
6. Coordinated Reinforcement Learning
7. A Conceptual Framework and a Toolkit for Supporting the Rapid Prototyping of Context-Aware Applications (Hum. Comput. Interact.)
8. Gaia: A Middleware Infrastructure to Enable Active Spaces1
9. Implementing a Sentient Computing System (Computer)
10. GridLAB-D: An open-source power systems modeling and simulation environment (IEEE/PES Transmission and Distribution Conference and Exposition)

Their papers

• Using Trust for Secure Collaboration in Uncertain Environments (2003) — 415 citations
• Transfer learning in multi-agent systems through parallel transfer (2013) — 34 citations
• A framework for developing mobile, context-aware applications (2004) — 352 citations