Albert Bou

According to our database, Albert Bou authored at least 7 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Test-Time Training Scaling for Chemical Exploration in Drug Design.

Morgan Thomas, Albert Bou, Gianni De Fabritiis

CoRR, January, 2025

REINFORCE-ING Chemical Language Models in Drug Design.

Morgan Thomas, Albert Bou, Gianni De Fabritiis

CoRR, January, 2025

2024

ACEGEN: Reinforcement Learning of Generative Chemical Agents for Drug Discovery.

Albert Bou, Morgan Thomas, Sebastian Dittert, Carles Navarro, Maciej Majewski, Ye Wang, Shivam Patel, Gary Tresadern, Mazen Ahmad, Vincent Moens, Woody Sherman, Simone Sciabola, Gianni De Fabritiis

J. Chem. Inf. Model., 2024

Aviary: training language agents on challenging scientific tasks.

Siddharth Narayanan, James D. Braza, Ryan-Rhys Griffiths, Manvitha Ponnapati, Albert Bou, Jon M. Laurent, Ori Kabeli, Geemi P. Wellawatte, Sam Cox, Samuel G. Rodriques, Andrew D. White

CoRR, 2024

On Machine Learning Approaches for Protein-Ligand Binding Affinity Prediction.

Nikolai Schapin, Carles Navarro, Albert Bou, Gianni De Fabritiis

CoRR, 2024

TorchRL: A data-driven decision-making library for PyTorch.

Albert Bou, Matteo Bettini, Sebastian Dittert, Vikash Kumar, Shagun Sodhani, Xiaomeng Yang, Gianni De Fabritiis, Vincent Moens

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2020

NAPPO: Modular and scalable reinforcement learning in pytorch.

Albert Bou, Gianni De Fabritiis

CoRR, 2020