Shuyue Hu

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 18 citations into it
• Reinforcement Learning — 14 citations into it

Whom Shuyue Hu trusts overall

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

1. Ming Tan
2. Christopher J. C. H. Watkins
3. Caroline Claus

Papers from Shuyue Hu's perspective

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

1. Multi Agent Reinforcement Learning Independent vs Cooperative Agents
2. The Dynamics of Reinforcement Learning in Cooperative Multiagent Systems
3. Double Q-learning
4. Independent reinforcement learners in cooperative Markov games: a survey regarding coordination problems
5. Technical Note: Q-Learning
6. Transfer Learning via Inter-Task Mappings for Temporal Difference Learning
7. Cooperative Multi-agent Control Using Deep Reinforcement Learning
8. Playing FPS Games with Deep Reinforcement Learning
9. Teacher-Student Framework: a Reinforcement Learning Approach
10. Interactive Teaching Strategies for Agent Training

Their papers

• A Q-values Sharing Framework for Multi-agent Reinforcement Learning under Budget Constraint (2020) — 10 citations
• A Q-values Sharing Framework for Multiple Independent Q-learners (2019) — 12 citations