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 research is made freely available to support the AI community.

Filter by Research Area
Robust Risk-Sensitive Reinforcement Learning Agents for Trading Markets
Workshop at the International Conference on Machine Learning (ICML), 2021
Authors: *Y. Gao, K. Y. C. Lui, P. Hernandez-Leal
* Denotes equal contribution
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
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
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
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
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
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
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