Maxime Heuillet

According to our database, Maxime Heuillet authored at least 4 papers between 2021 and 2024.

Collaborative distances:

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

2024

Neural Active Learning Meets the Partial Monitoring Framework.

Maxime Heuillet, Ola Ahmad, Audrey Durand

CoRR, 2024

Randomized Confidence Bounds for Stochastic Partial Monitoring.

Maxime Heuillet, Ola Ahmad, Audrey Durand

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2022

A Game-Theoretic Perspective on Risk-Sensitive Reinforcement Learning.

Mathieu Godbout, Maxime Heuillet, Sharath Chandra Raparthy, Rupali Bhati, Audrey Durand

Proceedings of the Workshop on Artificial Intelligence Safety 2022 (SafeAI 2022) co-located with the Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI2022), 2022

2021

CARL: Conditional-value-at-risk Adversarial Reinforcement Learning.

Mathieu Godbout, Maxime Heuillet, Sharath Chandra, Rupali Bhati, Audrey Durand

CoRR, 2021