On Neural Consolidation for Transfer in Reinforcement Learning

no code implementations • 5 Oct 2022 • Valentin Guillet, Dennis G. Wilson, Carlos Aguilar-Melchor, Emmanuel Rachelson

Although transfer learning is considered to be a milestone in deep reinforcement learning, the mechanisms behind it are still poorly understood.

reinforcement-learning Reinforcement Learning (RL) +1

Neural Distillation as a State Representation Bottleneck in Reinforcement Learning

no code implementations • 5 Oct 2022 • Valentin Guillet, Dennis G. Wilson, Carlos Aguilar-Melchor, Emmanuel Rachelson

Learning a good state representation is a critical skill when dealing with multiple tasks in Reinforcement Learning as it allows for transfer and better generalization between tasks.

reinforcement-learning Reinforcement Learning (RL)

Encrypted Internet traffic classification using a supervised Spiking Neural Network

no code implementations • 24 Jan 2021 • Ali Rasteh, Florian Delpech, Carlos Aguilar-Melchor, Romain Zimmer, Saeed Bagheri Shouraki, Timothée Masquelier

Internet traffic recognition is an essential tool for access providers since recognizing traffic categories related to different data packets transmitted on a network help them define adapted priorities.

General Classification Traffic Classification