237 citations · 879 across the 13 of their papers we have counts for
13 papers
SRL: Scaling Distributed Reinforcement Learning to Over Ten Thousand Cores
Zhiyu Mei, Wei Fu, Jiaxuan Gao +3
The ever-growing complexity of reinforcement learning (RL) tasks demands a distributed system to efficiently generate and process a massive amount of data. However, existing open-s…
Continuously Discovering Novel Strategies via Reward-Switching Policy Optimization
Zihan Zhou, Wei Fu, Bingliang Zhang +1
We present Reward-Switching Policy Optimization (RSPO), a paradigm to discover diverse strategies in complex RL environments by iteratively finding novel policies that are both loc…
Predicting Health Indicators for Open Source Projects (using Hyperparameter Optimization)
Tianpei Xia, Wei Fu, Rui Shu +2
Software developed on public platform is a source of data that can be used to make predictions about those projects. While the individual developing activity may be random and hard…
How to "DODGE" Complex Software Analytics?
Amritanshu Agrawal, Wei Fu, Di Chen +2
Machine learning techniques applied to software engineering tasks can be improved by hyperparameter optimization, i.e., automatic tools that find good settings for a learner's cont…
Applications of Psychological Science for Actionable Analytics
Di Chen, Wei Fu, Rahul Krishna +1
Actionable analytics are those that humans can understand, and operationalize. What kind of data mining models generate such actionable analytics? According to psychological scient…
Building Better Quality Predictors Using "-Dominance"
Wei Fu, Tim Menzies, Di Chen +1
Despite extensive research, many methods in software quality prediction still exhibit some degree of uncertainty in their results. Rather than treating this as a problem, this pape…