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Robust Risk-Sensitive Reinforcement Learning Agents for Trading Markets

Reinforcement Learning

Temporally Extended Auxiliary Tasks

Reinforcement Learning

Multi Type Mean Field Reinforcement Learning

Reinforcement Learning

Uncertainty-Aware Action Advising for Deep Reinforcement Learning Agents

Reinforcement Learning

Towers of Saliency: A Reinforcement Learning Visualization Using Immersive Environments

Reinforcement Learning

A Survey and Critique of Multiagent Deep Reinforcement Learning

Reinforcement Learning

On Hard Exploration for Reinforcement Learning: a Case Study in Pommerman

Reinforcement Learning

Action Guidance with MCTS for Deep Reinforcement Learning

Reinforcement Learning

Terminal Prediction as an Auxiliary Task for Deep Reinforcement Learning

Reinforcement Learning

Agent Modeling as Auxiliary Task for Deep Reinforcement Learning

Reinforcement Learning

Metatrace Actor-Critic: Online Step-size Tuning by Meta-gradient Descent for Reinforcement Learning

Reinforcement Learning

Skynet: A Top Deep RL Agent in the Inaugural Pommerman Team Competition

Reinforcement Learning

Causmos: Machine Intelligence beyond Predictive ML

causality

Mastering Language Models: A Comprehensive Collection of Tutorials

Generative Models

Training and fine-tuning large language models

Generative Models

A High-level Overview of Large Language Models

Learning And Generalization, Natural Language Processing

Borealis AI at the Neural Information Processing Systems (NeurIPS) Conference 2022

NeurIPS 2022 Recommended Reading List

Out-of-distribution detection I: anomaly detection

Responsible AI

PUMA: Performance Unchanged Model Augmentation for Training Data Removal

Computer Vision

Heterogeneous Multi-task Learning with Expert Diversity

Computer Vision, Natural Language Processing, Reinforcement Learning

Desired characteristics for real-world RL agents

Reinforcement Learning

Top 20 Tutorials for Machine Learning (ML)

Learning And Generalization, Natural Language Processing, Reinforcement Learning

2020 End of Year Reading List

Empowering Diversity: Spotlight on Borealis AI's 2023 Women Fellows in Research

The Borealis AI 2022-2023 Fellowships: Fostering Next-Generation Research Talent

Unlocking Potential: Get to Know Borealis AI's Fall 2023 Research Interns and Engineering Co-op Students  

AI is quietly building financial intelligence for younger Canadians, yet skepticism remains, reveals new RBC Survey

RESPECT AI: Governance for growth with Abhishek Gupta of Montreal AI Ethics Institute

Responsible AI

RESPECT AI: Collaborating with generative AI for the greater good with Dr. Graham Taylor

Responsible AI

The Borealis AI 2023 Machine Learning Researcher Internship and Engineering Co-op Programs: Developing Tomorrow’s AI Leaders  

RBC Capital Markets announces the launch of Aiden® Arrival, the second algorithm on the Aiden® platform

Day in the Life of a Borealis AI Research Intern

Always learning: Borealis AI and the DLRL Summer School

Northern Frontier: In conversation with Prof. Balaraman Ravindran

The Borealis AI 2021-2022 Fellowships: Inspiring Canada’s AI Research Talent