2 code implementations • 25 Jun 2024 • Sebastian Dittert, Vincent Moens, Gianni de Fabritiis
The integration of TorchRL with the LEGO hubs, via Bluetooth bidirectional communication, enables state-of-the-art reinforcement learning training on GPUs for a wide variety of LEGO builds.
2 code implementations • 7 May 2024 • Albert Bou, Morgan Thomas, Sebastian Dittert, Carles Navarro Ramírez, Maciej Majewski, Ye Wang, Shivam Patel, Gary Tresadern, Mazen Ahmad, Vincent Moens, Woody Sherman, Simone Sciabola, Gianni de Fabritiis
In recent years, reinforcement learning (RL) has emerged as a valuable tool in drug design, offering the potential to propose and optimize molecules with desired properties.
2 code implementations • 1 Jun 2023 • Albert Bou, Matteo Bettini, Sebastian Dittert, Vikash Kumar, Shagun Sodhani, Xiaomeng Yang, Gianni de Fabritiis, Vincent Moens
PyTorch has ascended as a premier machine learning framework, yet it lacks a native and comprehensive library for decision and control tasks suitable for large development teams dealing with complex real-world data and environments.
no code implementations • 29 Sep 2021 • Albert Bou, Sebastian Dittert, Gianni de Fabritiis
Abstract: Deep reinforcement learning (RL) has proved successful at solving challenging environments but often requires long training times and very many samples.
1 code implementation • 6 Jul 2020 • Albert Bou, Sebastian Dittert, Gianni de Fabritiis
In this work, we explore design choices to allow agent composability both at a local and distributed level of execution.