David Feil-Seifer

Reinforcement Learning · 2005–2018

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 7 citations into it
• Artificial Intelligence — 6 citations into it; #18,238 of 35,345 by trust here, #20,836 by citations
• Control and Systems Engineering — 5 citations into it

Whom David Feil-Seifer trusts overall

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

1. T. Fong
2. Brian R. Duffy
3. Lucian Busoniu
4. Illah Reza Nourbakhsh
5. Christos H. Papadimitriou
6. Kerstin Dautenhahn
7. Amy Greenwald
8. Shuzhi Sam Ge

Who trusts David Feil-Seifer overall

1. Jaeyong Sung
2. Adriana Tapus
3. Colin Ponce
4. P. Flandorfer
5. Maja J. Mataric
6. Brian Scassellati
7. Bart Selman
8. Ashutosh Saxena

Papers from David Feil-Seifer's perspective

Ordered by how strongly the researchers David Feil-Seifer trusts endorse each paper. Same corpus, a different order for every researcher.

1. Reinforcement Learning: An Introduction
2. Anthropomorphism and the social robot (Robotics Auton. Syst.)
3. Nash Q-Learning for General-Sum Stochastic Games
4. A survey of socially interactive robots
5. A Comprehensive Survey of Multiagent Reinforcement Learning
6. Reinforcement Learning and Dynamic Programming Using Function Approximators
7. Correlated Q-Learning
8. Decentralized, Adaptive Coverage Control for Networked Robots (Int. J. Robotics Res.)
9. Safe, Multi-Agent, Reinforcement Learning for Autonomous Driving
10. Coordinated Reinforcement Learning

Their papers

• Defining socially assistive robotics (2005) — 1,031 citations
• Cooperative and Distributed Reinforcement Learning of Drones for Field Coverage (2018) — 105 citations