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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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
Temporally Extended Auxiliary Tasks
Workshop on Adaptive and Learning Agents (AAMAS), 2020
Authors:
C. Sherstan,
B. Kartal,
P. Hernandez-Leal
,
M. E. Taylor
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
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
Maximum Entropy Monte-Carlo Planning
Neural Information Processing Systems (NeurIPS), 2019
Authors:
C. Xiao,
R. Huang,
J. Mei,
D. Schuurmans,
M. Müller
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
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
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
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
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
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