28 citations · 65 across the 7 of their papers we have counts for
Showing 2021Show all
3 papers · 1 filter
cs.GT2021★ 4 cited
Empirical Policy Optimization for -Player Markov Games
Yuanheng Zhu, Dongbin Zhao, Mengchen Zhao +1
In single-agent Markov decision processes, an agent can optimize its policy based on the interaction with environment. In multi-player Markov games (MGs), however, the interaction…
cs.IR2021★ 2 cited
CMML: Contextual Modulation Meta Learning for Cold-Start Recommendation
Xidong Feng, Chen Chen, Dong Li +3
Practical recommender systems experience a cold-start problem when observed user-item interactions in the history are insufficient. Meta learning, especially gradient based one, ca…
cs.IR2021★ 10 cited
Modeling Scale-free Graphs with Hyperbolic Geometry for Knowledge-aware Recommendation
Yankai Chen, Menglin Yang, Yingxue Zhang +4
Aiming to alleviate data sparsity and cold-start problems of traditional recommender systems, incorporating knowledge graphs (KGs) to supplement auxiliary information has recently…