Jeffrey O. Kephart
Computer Networks and Communications · 2002–2016
A researcher in the Science corpus: 12 papers; trusts 22 researchers and is trusted by 33 researchers here, as inferred from the citation graph.
Subfields
- Computer Networks and Communications — 25 citations into it; #1,213 of 9,886 by trust here, #1,023 by citations
- Information Systems — 24 citations into it; #1,373 of 8,771 by trust here, #1,142 by citations
- Reinforcement Learning — 14 citations into it; #1,557 of 2,242 by trust here, #1,778 by citations
- Artificial Intelligence — 7 citations into it; #6,556 of 35,345 by trust here, #8,706 by citations
- Game & Decision Theory — 5 citations into it
Whom Jeffrey O. Kephart trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Craig Boutilier
- William E. Walsh
- G. Tesauro
- Richard S. Sutton
- Abhishek Chandra
- Junling Hu
- Jeffrey S. Chase
- David M. Chess
- Ralph L. Keeney
- Michael L. Littman
Who trusts Jeffrey O. Kephart overall
- Markus C. Huebscher
- Mazeiar Salehie
- Anton Beloglazov
- Julie Ann McCann
- Alexandros Marinos
- Ladan Tahvildari
- Rajarshi Das
- Steve R. White
- Rajkumar Buyya
- G. Tesauro
Papers from Jeffrey O. Kephart's perspective
Ordered by how strongly the researchers Jeffrey O. Kephart trusts endorse each paper. Same corpus, a different order for every researcher.
- Reinforcement Learning: An Introduction
- Markov Games as a Framework for Multi-Agent Reinforcement Learning
- Learning from delayed rewards
- ImageNet classification with deep convolutional neural networks
- Temporal Difference Learning and TD-Gammon
- Decision-Theoretic Planning: Structural Assumptions and Computational Leverage
- Q-learning
- Long Short-Term Memory
- Multiagent Reinforcement Learning: Theoretical Framework and an Algorithm
- Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
Their papers
- Reports of the 2016 AAAI Workshop Program (2016) — 3 citations
- Pricing in Agent Economies Using Multi-Agent Q-Learning (2002) — 175 citations
- An artificial intelligence perspective on autonomic computing policies (2004) — 353 citations
- Reports from the 2015 AAAI Workshop Program (2015) — 3 citations
- Efficient resource provisioning in compute clouds via VM multiplexing (2010) — 414 citations
- Autonomic multi-agent management of power and performance in data centers (2008) — 139 citations
- Power and performance management of virtualized computing environments via lookahead control (2008) — 965 citations
- Research challenges of autonomic computing (2005) — 346 citations
- Utility functions in autonomic systems (2004) — 490 citations
- An architectural approach to autonomic computing (2004) — 330 citations
- The Vision of Autonomic Computing (2003) — 7,134 citations
- Analyzing Complex Strategic Interactions in Multi-Agent Systems (2002) — 189 citations