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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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 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
On the Effectiveness of Low Frequency Perturbations
International Joint Conference on Artificial Intelligence (IJCAI), 2019
Authors: Y. Sharma, G. W. Ding, M. Brubaker
Abstract Paper BibTeX
A Cross-Domain Transferable Neural Coherence Model
Association for Computational Linguistics (ACL), 2019
Authors: P. Xu, H. Saghir, J. Kang, L. Long, A. J. Bose, Y. Cao
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
Metatrace Actor-Critic: Online Step-size Tuning by Meta-gradient Descent for Reinforcement Learning
International Joint Conference on Artificial Intelligence (IJCAI), 2019
Authors: K. Young, B. Wang, M. E. Taylor
Abstract Paper BibTeX
Learning a Deep ConvNet for Multi-label Classification with Partial Labels
Conference on Computer Vision and Pattern Recognition (CVPR), 2019
Authors: T. Durand, N. Mehrasa, G. Mori
Abstract Paper
A Variational Auto-Encoder Model for Stochastic Point Process
Conference on Computer Vision and Pattern Recognition (CVPR), 2019
Authors: N. Mehrasa, A. Jyothi, T. Durand, J. He , L. Sigal, G. Mori
Abstract Paper Blog
Uniform Stability and High Order Approximation of SGLD in Non-Convex Learning
Workshop on Understanding and Improving Generalization in Deep Learning (ICML), 2019
Authors: *M. Gazeau, *M. Li
* Denotes equal contribution
Abstract Paper BibTeX
Safer Deep RL with Shallow MCTS: A Case Study in Pommerman
Workshop on Adaptive Learning Agents (AAMAS), 2019
Authors: B. Kartal, P. Hernandez-Leal, C. Gao, M. E. Taylor
Abstract Paper Blog