Results for Reinforcement Learning
-
RBC maintains strong AI leadership position in financial services
RBC maintains strong AI leadership position in financial services
-
Supporting Emerging Tech Talent: RBC Borealis at the DLRL Summer School
Supporting Emerging Tech Talent: RBC Borealis at the DLRL Summer School
-
Memory Efficient Neural Processes via Constant Memory Attention Block
Memory Efficient Neural Processes via Constant Memory Attention Block
L. Feng, F. Tung, H. Hajimirsadeghi, Y. Bengio, and M. O. Ahmed. International Conference on Machine Learning (ICML), 2024
-
Tree Cross Attention
Tree Cross Attention
-
NeurIPS 2023 Recommended Reading List
NeurIPS 2023 Recommended Reading List
-
Empowering Diversity: Spotlight on RBC Borealis 2023 Women Fellows in Research
Empowering Diversity: Spotlight on RBC Borealis 2023 Women Fellows in Research
-
The RBC Borealis 2022-2023 Fellowships: Fostering Next-Generation Research Talent
The RBC Borealis 2022-2023 Fellowships: Fostering Next-Generation Research Talent
-
Unlocking Potential: Get to Know RBC Borealis's Fall 2023 Research Interns and Engineering Co-op Students
Unlocking Potential: Get to Know RBC Borealis'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
AI is quietly building financial intelligence for younger Canadians, yet skepticism remains, reveals new RBC Survey
-
Tree Cross Attention
Tree Cross Attention
-
NeurIPS 2023 Recommended Reading List
NeurIPS 2023 Recommended Reading List
-
A High-level Overview of Large Language Models
A High-level Overview of Large Language Models
-
RBC Borealis at the Neural Information Processing Systems (NeurIPS) Conference 2022
RBC Borealis at the Neural Information Processing Systems (NeurIPS) Conference 2022
-
NeurIPS 2022 Recommended Reading List
NeurIPS 2022 Recommended Reading List
-
Heterogeneous Multi-task Learning with Expert Diversity
Heterogeneous Multi-task Learning with Expert Diversity
Computer Vision; Natural Language Processing; Reinforcement Learning
-
Memory Efficient Neural Processes via Constant Memory Attention Block
Memory Efficient Neural Processes via Constant Memory Attention Block
L. Feng, F. Tung, H. Hajimirsadeghi, Y. Bengio, and M. O. Ahmed. International Conference on Machine Learning (ICML), 2024
-
Robust Risk-Sensitive Reinforcement Learning Agents for Trading Markets
Robust Risk-Sensitive Reinforcement Learning Agents for Trading Markets
*Y. Gao, K. Y. C. Lui, and P. Hernandez-Leal. International Conference on Machine Learning Workshop (ICML), 2021
-
Temporally Extended Auxiliary Tasks
Temporally Extended Auxiliary Tasks
C. Sherstan, B. Kartal, P. Hernandez-Leal, and M. E. Taylor. International Conference on Autonomous Agents and Multiagent Systems Workshop on Adaptive and Learning Agents (AAMAS), 2020
-
Uncertainty-Aware Action Advising for Deep Reinforcement Learning Agents
Uncertainty-Aware Action Advising for Deep Reinforcement Learning Agents
F. L. Da Silva, P. Hernandez-Leal, B. Kartal, and M. E. Taylor. Association for the Advancement of Artificial Intelligence (AAAI), 2020
-
Multi Type Mean Field Reinforcement Learning
Multi Type Mean Field Reinforcement Learning
S. Subramanian, P. Poupart, M. E. Taylor, and N. Hegde. International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2020
-
Towers of Saliency: A Reinforcement Learning Visualization Using Immersive Environments
Towers of Saliency: A Reinforcement Learning Visualization Using Immersive Environments
N. Douglas, D. Yim, B. Kartal, P. Hernandez-Leal, M. E. Taylor, and F. Maurer. International Conference on Interactive Surfaces and Spaces (ISS), 2019
-
A Survey and Critique of Multiagent Deep Reinforcement Learning
A Survey and Critique of Multiagent Deep Reinforcement Learning
P. Hernandez-Leal, B. Kartal, and M. E. Taylor. International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2019
-
Agent Modeling as Auxiliary Task for Deep Reinforcement Learning
Agent Modeling as Auxiliary Task for Deep Reinforcement Learning
*B. Kartal, *P. Hernandez-Leal, and M. E. Taylor. AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE), 2019
-
Terminal Prediction as an Auxiliary Task for Deep Reinforcement Learning
Terminal Prediction as an Auxiliary Task for Deep Reinforcement Learning
*B. Kartal, *P. Hernandez-Leal, and M. E. Taylor. AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE), 2019
-
Action Guidance with MCTS for Deep Reinforcement Learning
Action Guidance with MCTS for Deep Reinforcement Learning
*B. Kartal, *P. Hernandez-Leal, and M. E. Taylor. AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE), 2019
-
On Hard Exploration for Reinforcement Learning: a Case Study in Pommerman
On Hard Exploration for Reinforcement Learning: a Case Study in Pommerman
C. Gao, B. Kartal, P. Hernandez-Leal, and M. E. Taylor. AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE), 2019
-
Metatrace Actor-Critic: Online Step-size Tuning by Meta-gradient Descent for Reinforcement Learning
Metatrace Actor-Critic: Online Step-size Tuning by Meta-gradient Descent for Reinforcement Learning
K. Young, B. Wang, and M. E. Taylor. International Joint Conference on Artificial Intelligence (IJCAI), 2019
-
RBC maintains strong AI leadership position in financial services
RBC maintains strong AI leadership position in financial services
-
Supporting Emerging Tech Talent: RBC Borealis at the DLRL Summer School
Supporting Emerging Tech Talent: RBC Borealis at the DLRL Summer School
-
Empowering Diversity: Spotlight on RBC Borealis 2023 Women Fellows in Research
Empowering Diversity: Spotlight on RBC Borealis 2023 Women Fellows in Research
-
The RBC Borealis 2022-2023 Fellowships: Fostering Next-Generation Research Talent
The RBC Borealis 2022-2023 Fellowships: Fostering Next-Generation Research Talent
-
Unlocking Potential: Get to Know RBC Borealis's Fall 2023 Research Interns and Engineering Co-op Students
Unlocking Potential: Get to Know RBC Borealis'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
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
RESPECT AI: Governance for growth with Abhishek Gupta of Montreal AI Ethics Institute
-
RESPECT AI: Collaborating with generative AI for the greater good with Dr. Graham Taylor
RESPECT AI: Collaborating with generative AI for the greater good with Dr. Graham Taylor
-
The RBC Borealis 2023 Machine Learning Researcher Internship and Engineering Co-op Programs: Developing Tomorrow’s AI Leaders
The RBC Borealis 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
RBC Capital Markets announces the launch of Aiden® Arrival, the second algorithm on the Aiden® platform
-
Day in the Life of a RBC Borealis Research Intern
Day in the Life of a RBC Borealis Research Intern
-
Always learning: RBC Borealis and the DLRL Summer School
Always learning: RBC Borealis and the DLRL Summer School