WorkArena: How Capable Are Web Agents at Solving Common Knowledge Work Tasks?

2 code implementations • 12 Mar 2024 • Alexandre Drouin, Maxime Gasse, Massimo Caccia, Issam H. Laradji, Manuel Del Verme, Tom Marty, Léo Boisvert, Megh Thakkar, Quentin Cappart, David Vazquez, Nicolas Chapados, Alexandre Lacoste

We study the use of large language model-based agents for interacting with software via web browsers.

Language Modelling Large Language Model

GrowSpace: Learning How to Shape Plants

no code implementations • 15 Oct 2021 • Yasmeen Hitti, Ionelia Buzatu, Manuel Del Verme, Mark Lefsrud, Florian Golemo, Audrey Durand

We argue that plant responses to an environmental stimulus are a good example of a real-world problem that can be approached within a reinforcement learning (RL)framework.

Fairness Reinforcement Learning (RL)

DistProp: A Scalable Approach to Lagrangian Training via Distributional Approximation

no code implementations • 29 Sep 2021 • Manuel Del Verme, Pierre-Luc Bacon

We develop a multiple shooting method for learning in deep neural networks based on the Lagrangian perspective on automatic differentiation.

Optimal Options for Multi-Task Reinforcement Learning Under Time Constraints

no code implementations • 6 Jan 2020 • Manuel Del Verme, Bruno Castro da Silva, Gianluca Baldassarre

Reinforcement learning can greatly benefit from the use of options as a way of encoding recurring behaviours and to foster exploration.

reinforcement-learning Reinforcement Learning (RL)