10 citations · 16 across the 5 of their papers we have counts for
5 papers
Improving Post-Processing of Audio Event Detectors Using Reinforcement Learning
Petros Giannakopoulos, Aggelos Pikrakis, Yannis Cotronis
We apply post-processing to the class probability distribution outputs of audio event classification models and employ reinforcement learning to jointly discover the optimal parame…
A Deep Reinforcement Learning Approach for Audio-based Navigation and Audio Source Localization in Multi-speaker Environments
Petros Giannakopoulos, Aggelos Pikrakis, Yannis Cotronis
In this work we apply deep reinforcement learning to the problems of navigating a three-dimensional environment and inferring the locations of human speaker audio sources within, i…
A Deep Reinforcement Learning Approach to Audio-Based Navigation in a Multi-Speaker Environment
Petros Giannakopoulos, Aggelos Pikrakis, Yannis Cotronis
In this work we use deep reinforcement learning to create an autonomous agent that can navigate in a two-dimensional space using only raw auditory sensory information from the envi…
A Deep Q-Learning Agent for the L-Game with Variable Batch Training
Petros Giannakopoulos, Yannis Cotronis
We employ the Deep Q-Learning algorithm with Experience Replay to train an agent capable of achieving a high-level of play in the L-Game while self-learning from low-dimensional st…
A study on implementing a multithreaded version of the SIRENE detector simulation software for high energy neutrinos
Petros Giannakopoulos, Michail Gkoumas, Ioannis Diplas +7
The primary objective of SIRENE is to simulate the response to neutrino events of any type of high energy neutrino telescope. Additionally, it implements different geometries for a…