338 citations · 572 across the 11 of their papers we have counts for
6 papers · 1 filter
Lucy-SKG: Learning to Play Rocket League Efficiently Using Deep Reinforcement Learning
Vasileios Moschopoulos, Pantelis Kyriakidis, Aristotelis Lazaridis +1
A successful tactic that is followed by the scientific community for advancing AI is to treat games as problems, which has been proven to lead to various breakthroughs. We adapt th…
REIN-2: Giving Birth to Prepared Reinforcement Learning Agents Using Reinforcement Learning Agents
Aristotelis Lazaridis, Ioannis Vlahavas
Deep Reinforcement Learning (Deep RL) has been in the spotlight for the past few years, due to its remarkable abilities to solve problems which were considered to be practically un…
Multi-target regression via output space quantization
Eleftherios Spyromitros-Xioufis, Konstantinos Sechidis, Ioannis Vlahavas
Multi-target regression is concerned with the prediction of multiple continuous target variables using a shared set of predictors. Two key challenges in multi-target regression are…
LionForests: Local Interpretation of Random Forests
Ioannis Mollas, Nick Bassiliades, Ioannis Vlahavas +1
Towards a future where machine learning systems will integrate into every aspect of people's lives, researching methods to interpret such systems is necessary, instead of focusing…
Multi-Target Regression via Random Linear Target Combinations
Grigorios Tsoumakas, Eleftherios Spyromitros-Xioufis, Aikaterini Vrekou +1
Multi-target regression is concerned with the simultaneous prediction of multiple continuous target variables based on the same set of input variables. It arises in several interes…
Multi-Target Regression via Input Space Expansion: Treating Targets as Inputs
Eleftherios Spyromitros-Xioufis, Grigorios Tsoumakas, William Groves +1
In many practical applications of supervised learning the task involves the prediction of multiple target variables from a common set of input variables. When the prediction target…