Results for Reinforcement Learning
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NeurIPS 2023 Recommended Reading List
NeurIPS 2023 Recommended Reading List
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Empowering Diversity: Spotlight on Borealis AI's 2023 Women Fellows in Research
Empowering Diversity: Spotlight on Borealis AI's 2023 Women Fellows in Research
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The Borealis AI 2022-2023 Fellowships: Fostering Next-Generation Research Talent
The Borealis AI 2022-2023 Fellowships: Fostering Next-Generation Research Talent
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Unlocking Potential: Get to Know Borealis AI's Fall 2023 Research Interns and Engineering Co-op Students
Unlocking Potential: Get to Know Borealis AI's Fall 2023 Research Interns and Engineering Co-op Students
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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
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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
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A High-level Overview of Large Language Models
A High-level Overview of Large Language Models
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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
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The Borealis AI 2023 Machine Learning Researcher Internship and Engineering Co-op Programs: Developing Tomorrow’s AI Leaders
The Borealis AI 2023 Machine Learning Researcher Internship and Engineering Co-op Programs: Developing Tomorrow’s AI Leaders
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NeurIPS 2023 Recommended Reading List
NeurIPS 2023 Recommended Reading List
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A High-level Overview of Large Language Models
A High-level Overview of Large Language Models
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Borealis AI at the Neural Information Processing Systems (NeurIPS) Conference 2022
Borealis AI at the Neural Information Processing Systems (NeurIPS) Conference 2022
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NeurIPS 2022 Recommended Reading List
NeurIPS 2022 Recommended Reading List
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Heterogeneous Multi-task Learning with Expert Diversity
Heterogeneous Multi-task Learning with Expert Diversity
Computer Vision; Natural Language Processing; Reinforcement Learning
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Top 20 Tutorials for Machine Learning (ML)
Top 20 Tutorials for Machine Learning (ML)
Learning And Generalization; Natural Language Processing; Reinforcement Learning
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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Skynet: A Top Deep RL Agent in the Inaugural Pommerman Team Competition
Skynet: A Top Deep RL Agent in the Inaugural Pommerman Team Competition
C. Gao, P. Hernandez-Leal, B. Kartal, and M. E. Taylor. The Multi-disciplinary Conference on Reinforcement Learning and Decision Making (RLDM), 2019
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Empowering Diversity: Spotlight on Borealis AI's 2023 Women Fellows in Research
Empowering Diversity: Spotlight on Borealis AI's 2023 Women Fellows in Research
-
The Borealis AI 2022-2023 Fellowships: Fostering Next-Generation Research Talent
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
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
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 Borealis AI 2023 Machine Learning Researcher Internship and Engineering Co-op Programs: Developing Tomorrow’s AI Leaders
The Borealis AI 2023 Machine Learning Researcher Internship and Engineering Co-op Programs: Developing Tomorrow’s AI Leaders
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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
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Day in the Life of a Borealis AI Research Intern
Day in the Life of a Borealis AI Research Intern
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Always learning: Borealis AI and the DLRL Summer School
Always learning: Borealis AI and the DLRL Summer School
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Northern Frontier: In conversation with Prof. Balaraman Ravindran
Northern Frontier: In conversation with Prof. Balaraman Ravindran
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The Borealis AI 2021-2022 Fellowships: Inspiring Canada’s AI Research Talent
The Borealis AI 2021-2022 Fellowships: Inspiring Canada’s AI Research Talent