Pierre Fournier

Orcid: 0000-0002-0209-2901

According to our database1, Pierre Fournier authored at least 13 papers between 2006 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
An Empirical Study on Temporal Difference Model Predictive Control for Fixed-Wing UAVs under Varying Wind Conditions.
SN Comput. Sci., February, 2026

2025
Unsupervised Discovery of Objects Physical Properties Through Maximum Entropy Reinforcement Learning.
IEEE Robotics Autom. Lett., April, 2025

Smoothing Continual Segmentation Oscillations with Latent Domain PPCA Decoder.
Proceedings of The TerraBytes {ICML} Workshop: Towards global datasets and models for Earth Observation, 2025

2024
LULC Segmentation in Historical Images Under Domain Shift: An Empirical Study.
Proceedings of the IGARSS 2024, 2024

Continual Learning in Remote Sensing : Leveraging Foundation Models and Generative Classifiers to Mitigate Forgetting.
Proceedings of the IGARSS 2024, 2024

Model-Free versus Model-Based Reinforcement Learning for Fixed-Wing UAV Attitude Control Under Varying Wind Conditions.
Proceedings of the 21st International Conference on Informatics in Control, 2024

2021
CLIC: Curriculum Learning and Imitation for Object Control in Nonrewarding Environments.
IEEE Trans. Cogn. Dev. Syst., 2021

2019
Intrinsically Motivated and Interactive Reinforcement Learning: a Developmental Approach. (Apprentissage par Renforcement Intrinsèquement Motivé et Interactif: une approche développementale).
PhD thesis, 2019

CLIC: Curriculum Learning and Imitation for feature Control in non-rewarding environments.
CoRR, 2019

CURIOUS: Intrinsically Motivated Modular Multi-Goal Reinforcement Learning.
Proceedings of the 36th International Conference on Machine Learning, 2019

2018
CURIOUS: Intrinsically Motivated Multi-Task, Multi-Goal Reinforcement Learning.
CoRR, 2018

Accuracy-based Curriculum Learning in Deep Reinforcement Learning.
CoRR, 2018

2006
AIRIS the Canadian Hyperspectral Imager.
Proceedings of the Canadian Conference on Electrical and Computer Engineering, 2006


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