Fenghui Ren

Reinforcement Learning · 2015

A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 17 citations into it
• Artificial Intelligence — 13 citations into it
• Sociology and Political Science — 7 citations into it
• Management Science and Operations Research — 6 citations into it

Whom Fenghui Ren trusts overall

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

1. Richard S. Sutton
2. Andrew Barto
3. Martin L. Puterman
4. Peter Stone
5. Craig Boutilier
6. Francisco S. Melo
7. Duncan J. Watts
8. Réka Albert
9. György Szabó

Papers from Fenghui Ren's perspective

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

1. Reinforcement Learning: An Introduction
2. Markov Decision Processes: Discrete Stochastic Dynamic Programming
3. Multi Agent Reinforcement Learning Independent vs Cooperative Agents
4. The Complexity of Decentralized Control of Markov Decision Processes
5. Recent Advances in Hierarchical Reinforcement Learning
6. The Dynamics of Reinforcement Learning in Cooperative Multiagent Systems
7. A Comprehensive Survey of Multiagent Reinforcement Learning
8. Collective dynamics of ‘small-world’ networks
9. Learning to Coordinate without Sharing Information
10. Planning, Learning and Coordination in Multiagent Decision Processes

Their papers

• Emotional Multiagent Reinforcement Learning in Spatial Social Dilemmas (2015) — 72 citations
• Multiagent Learning of Coordination in Loosely Coupled Multiagent Systems (2015) — 46 citations