Alexandre Brown
Master’s Student in Artificial Intelligence at the University of Montreal
With over six years of professional experience in computer science and machine learning, I have worked on various projects, including:
- Canada Wildfire Prediction using Machine Learning
- Image Object Detection of Eucalyptus Crops using Deep Learning
- 3D Point Cloud Semantic Segmentation from LiDAR Data
Feel free to check out my LinkedIn profile to learn more or connect with me.
Some open-source projects I have published include:
- Canada Wildfire Prediction using Deep Learning
- Image Cloud Semantic Segmentation using Deep Learning
- Aerial Semantic Segmentation using Deep Learning
- Experiment on Adapting TDM Models to Images for Visual Deep Reinforcement Learning
I am currently conducting research at MILA (Montreal Quebec AI Institute). My research interests include:
- Deep Visual Reinforcement Learning: Leveraging images as input to deep RL policies.
- Goal-Conditioned Reinforcement Learning: Focusing on multi-modality with image and text goals.
- Real-World Deployable RL Solutions: Developing methods that require minimal hardware, such as just an RGB camera.
Feel free to explore my GitHub repositories