research
∙
06/29/2023
SRL: Scaling Distributed Reinforcement Learning to Over Ten Thousand Cores
The ever-growing complexity of reinforcement learning (RL) tasks demands...
share
research
∙
06/15/2022
Revisiting Some Common Practices in Cooperative Multi-Agent Reinforcement Learning
Many advances in cooperative multi-agent reinforcement learning (MARL) a...
research
∙
04/04/2022
Continuously Discovering Novel Strategies via Reward-Switching Policy Optimization
We present Reward-Switching Policy Optimization (RSPO), a paradigm to di...
research
∙
06/12/2020
Predicting Project Health for Open Source Projects (using the DECART Hyperparameter Optimizer)
Software developed on public platforms are a source of data that can be ...
research
∙
02/05/2019
How to "DODGE" Complex Software Analytics?
AI software is still software. Software engineers need better tools to m...
research
∙
03/13/2018
Applications of Psychological Science for Actionable Analytics
Actionable analytics are those that humans can understand, and operation...
research
∙
03/13/2018
Building Better Quality Predictors Using "ε-Dominance"
Despite extensive research, many methods in software quality prediction ...
research
∙
02/14/2018
500+ Times Faster Than Deep Learning (A Case Study Exploring Faster Methods for Text Mining StackOverflow)
Deep learning methods are useful for high-dimensional data and are becom...
research
∙
01/30/2018
Data-Driven Search-based Software Engineering
This paper introduces Data-Driven Search-based Software Engineering (DSE...
research
∙
09/08/2016
Why is Differential Evolution Better than Grid Search for Tuning Defect Predictors?
Context: One of the black arts of data mining is learning the magic para...
research
∙
08/29/2016