How useful are gradients for ood detection really? C Igoe, Y Chung, I Char, J Schneider arXiv preprint arXiv:2205.10439, 2022 | 13 | 2022 |
Multi-agent active search: A reinforcement learning approach C Igoe, R Ghods, J Schneider IEEE Robotics and Automation Letters 7 (2), 754-761, 2021 | 12 | 2021 |
Hierarchical Bayesian framework for bus dwell time prediction IK Isukapati, C Igoe, E Bronstein, V Parimi, SF Smith IEEE Transactions on Intelligent Transportation Systems 22 (5), 3068-3077, 2020 | 11 | 2020 |
Multi-Alpha Soft Actor-Critic: Overcoming Stochastic Biases in Maximum Entropy Reinforcement Learning C Igoe, S Pande, S Venkatraman, J Schneider 2023 IEEE International Conference on Robotics and Automation (ICRA), 7162-7168, 2023 | 2 | 2023 |
Multi-armed bandits with delayed and aggregated rewards J Tyo, O Neopane, J Byrd, C Gupta, C Igoe, ... DEVCOM Army Res. Lab., White Oak, MD, USA, Tech. Rep. ARL-TR-8754, 2019 | 2 | 2019 |
Integrating transit signal priority with adaptive signal control in a connected vehicle environment: Phase 1 Final Report SF Smith, I Isukapati, E Bronstein, C Igoe Carnegie-Mellon University, 2018 | 2 | 2018 |
Weighted tallying bandits: overcoming intractability via repeated exposure optimality D Malik, C Igoe, Y Li, A Singh International Conference on Machine Learning, 23590-23609, 2023 | | 2023 |
Integrating Transit Signal Priority With Adaptive Signal Control in a Connected Vehicle Environment SF Smith, I Isukapati, E Bronstein, C Igoe | | 2018 |