1 code implementation • 1 Jun 2023 • Oussama Boussif, Ghait Boukachab, Dan Assouline, Stefano Massaroli, Tianle Yuan, Loubna Benabbou, Yoshua Bengio
Solar power harbors immense potential in mitigating climate change by substantially reducing CO$_{2}$ emissions.
1 code implementation • 11 Oct 2022 • Oussama Boussif, Dan Assouline, Loubna Benabbou, Yoshua Bengio
The computational complexity of classical numerical methods for solving Partial Differential Equations (PDE) scales significantly as the resolution increases.
2 code implementations • 4 Oct 2022 • Dianbo Liu, Vedant Shah, Oussama Boussif, Cristian Meo, Anirudh Goyal, Tianmin Shu, Michael Mozer, Nicolas Heess, Yoshua Bengio
We formalize the notions of coordination level and heterogeneity level of an environment and present HECOGrid, a suite of multi-agent RL environments that facilitates empirical evaluation of different MARL approaches across different levels of coordination and environmental heterogeneity by providing a quantitative control over coordination and heterogeneity levels of the environment.
Multi-agent Reinforcement Learning reinforcement-learning +1
no code implementations • 21 May 2022 • Dianbo Liu, Vedant Shah, Oussama Boussif, Cristian Meo, Anirudh Goyal, Tianmin Shu, Michael Mozer, Nicolas Heess, Yoshua Bengio
In Multi-Agent Reinforcement Learning (MARL), specialized channels are often introduced that allow agents to communicate directly with one another.
Intelligent Communication Multi-agent Reinforcement Learning +2