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Research to help build a better financial future

Our researchers undertake fundamental and applied research and use state-of-the-art ML to address some of the biggest challenges facing the financial services industry today and in the future.

Our widely published research covers a broad range of topics including Reinforcement learning, Natural Language Processing and Time Series Modeling. Our resesarch is made freely available to support the AI community.

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Multi Type Mean Field Reinforcement Learning
International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2020
Authors: S. Subramanian, P. Poupart, M. E. Taylor, N. Hegde
Abstract Paper BibTeX
Temporally Extended Auxiliary Tasks
Workshop on Adaptive and Learning Agents (AAMAS), 2020
Authors: C. Sherstan, B. Kartal, P. Hernandez-Leal , M. E. Taylor
Abstract Paper BibTeX
Uncertainty-Aware Action Advising for Deep Reinforcement Learning Agents
Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Authors: F. L. Da Silva, P. Hernandez-Leal , B. Kartal, M. E. Taylor
Abstract Paper BibTeX
Maximum Entropy Monte-Carlo Planning
Neural Information Processing Systems (NeurIPS), 2019
Authors: C. Xiao, R. Huang , J. Mei, D. Schuurmans, M. Müller
Abstract Paper BibTeX
Towers of Saliency: A Reinforcement Learning Visualization Using Immersive Environments
ACM Interactive Surfaces and Spaces (ISS), 2019
Authors: N. Douglas, D. Yim, B. Kartal, P. Hernandez-Leal , M. E. Taylor, F. Maurer
Abstract BibTeX
Action Guidance with MCTS for Deep Reinforcement Learning
AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE), 2019
Authors: *B. Kartal, *P. Hernandez-Leal , M. E. Taylor
* Denotes equal contribution
Abstract Paper BibTeX
Agent Modeling as Auxiliary Task for Deep Reinforcement Learning
AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE), 2019
Authors: *B. Kartal, *P. Hernandez-Leal , M. E. Taylor
* Denotes equal contribution
Abstract Paper BibTeX
Terminal Prediction as an Auxiliary Task for Deep Reinforcement Learning
AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE), 2019
Authors: *B. Kartal, *P. Hernandez-Leal , M. E. Taylor
* Denotes equal contribution
Abstract Paper BibTeX
On Hard Exploration for Reinforcement Learning: a Case Study in Pommerman
AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE), 2019
Authors: C. Gao, B. Kartal, P. Hernandez-Leal , M. E. Taylor
Abstract Paper BibTeX
On Principled Entropy Exploration in Policy Optimization
International Joint Conference on Artificial Intelligence (IJCAI), 2019
Authors: *J. Mei, *C. Xiao, R. Huang , D. Schuurmans, M. Müller
* Denotes equal contribution
Abstract Paper BibTeX
Skynet: A Top Deep RL Agent in the Inaugural Pommerman Team Competition
The Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM), 2019
Authors: C. Gao, P. Hernandez-Leal , B. Kartal, M. E. Taylor
Abstract Paper BibTeX Blog