Dungeons and DQNs: Toward Reinforcement Learning Agents that Play Tabletop Roleplaying Games LJ Martin, S Sood, MO Riedl AAAI Conference on Artificial Intelligence and Interactive Digital …, 2018 | 21 | 2018 |
Debiasing classifiers: is reality at variance with expectation? A Agrawal, F Pfisterer, B Bischl, F Buet-Golfouse, S Sood, J Chen, S Shah, ... arXiv preprint arXiv:2011.02407, 2020 | 17 | 2020 |
Cross-domain perceptual reward functions AD Edwards, S Sood, CL Isbell Jr arXiv preprint arXiv:1705.09045, 2017 | 11 | 2017 |
Visual time series forecasting: An image-driven approach S Sood, Z Zeng, N Cohen, T Balch, M Veloso Proceedings of the Second ACM International Conference on AI in Finance, 1-9, 2021 | 9* | 2021 |
Visual forecasting of time series with image-to-image regression N Cohen, S Sood, Z Zeng, T Balch, M Veloso arXiv e-prints, arXiv: 2011.09052, 2020 | 4 | 2020 |
Deep Reinforcement Learning for Optimal Portfolio Allocation: A Comparative Study with Mean-Variance Optimization S Sood, K Papasotiriou, M Vaiciulis, T Balch FinPlan 2023, 21, 2023 | 3 | 2023 |
Synthetic Data Applications in Finance VK Potluru, D Borrajo, A Coletta, N Dalmasso, Y El-Laham, E Fons, ... arXiv preprint arXiv:2401.00081, 2023 | 1 | 2023 |
Method and system for forecasting time series by image inpainting M Veloso, Z Zeng, NY Cohen, S Sood, JR Maat, TR Balch US Patent App. 17/901,083, 2024 | | 2024 |
Method for automatically identifying signals or patterns in time series data by treating series as image NY Cohen, K Ramani, TR Balch, MM Veloso, S Sood, Z Zeng US Patent 11,586,845, 2023 | | 2023 |
Domain Adaptation in Reinforcement Learning S Sood Georgia Institute of Technology, 2017 | | 2017 |