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Robust Risk-Sensitive Reinforcement Learning Agents for Trading Markets

Reinforcement Learning

Temporally Extended Auxiliary Tasks

Reinforcement Learning

Uncertainty-Aware Action Advising for Deep Reinforcement Learning Agents

Reinforcement Learning

Multi Type Mean Field Reinforcement Learning

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

Agent Modeling as Auxiliary Task for Deep Reinforcement Learning

Reinforcement Learning

Terminal Prediction as an Auxiliary Task for Deep Reinforcement Learning

Reinforcement Learning

Action Guidance with MCTS for Deep Reinforcement Learning

Reinforcement Learning

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

Reinforcement Learning

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

Reinforcement Learning

Safer Deep RL with Shallow MCTS: A Case Study in Pommerman

Reinforcement Learning

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

Tutorial #10: SAT Solvers II: Algorithms

Optimization

Tutorial #9: SAT Solvers I: Introduction and applications

Optimization

Aiden – Reinforcement learning for order execution

Quantitative Finance, Reinforcement Learning

ICML 2020 Roundup

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

The Borealis AI 2020-2021 Fellowships: Supporting Canada’s AI Research Ecosystem

Meet Aiden, an AI-powered electronic trading platform

Reinforcement Learning

Foteini Agrafioti on the story behind Aiden

Reinforcement Learning

Borealis AI Helps Advance Women in AI through Partnership with the AI4Good Lab

Prof. Pascal Poupart on unsupervised video object segmentation for deep reinforcement learning

Meet the Class of 2019: Introducing Borealis AI’s Graduate Fellowship winners