Natural emergence of heterogeneous strategies in artificially intelligent competitive teams A Deka, K Sycara International Conference on Swarm Intelligence, 13-25, 2021 | 36 | 2021 |
Contour-aware residual W-Net for nuclei segmentation S Das, A Deka, Y Iwahori, MK Bhuyan, T Iwamoto, J Ueda Procedia Computer Science 159, 1479-1488, 2019 | 18 | 2019 |
Hiding Leader’s identity in leader-follower navigation through multi-agent reinforcement learning A Deka, W Luo, H Li, M Lewis, K Sycara 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021 | 6 | 2021 |
Human vs. deep neural network performance at a leader identification task A Deka, K Sycara, P Walker, H Li, M Lewis Proceedings of the Human Factors and Ergonomics Society Annual Meeting 65 (1 …, 2021 | 6 | 2021 |
Zero-Shot Transfer of Haptics-Based Object Insertion Policies S Brahmbhatt, A Deka, A Spielberg, M Müller IEEE International Conference on Robotics and Automation (ICRA) 2023, 2023 | 4 | 2023 |
Adaptive attention-aware pedestrian trajectory prediction for robot planning in human environments A Deka, VK Narayanan, T Miyashita, N Hagita Unpublished, 2018 | 3 | 2018 |
The Robustness of Human Advantage in Swarm Leader Identification A Deka, K Sycara, P Walker, H Li, M Lewis Proceedings of the Human Factors and Ergonomics Society Annual Meeting 66 (1 …, 2022 | 2 | 2022 |
Dense 3D Reconstruction of Endoscopic Polyp. A Deka, Y Iwahori, MK Bhuyan, P Sasmal, K Kasugai BIOIMAGING 2018, 159-166, 2018 | 2 | 2018 |
ARC - Actor Residual Critic for Adversarial Imitation Learning A Deka, C Liu, K Sycara Conference on Robot Learning (CoRL) 2022, https://openreview.net/pdf?id …, 2022 | 1 | 2022 |
OpenBot-Fleet: A System for Collective Learning with Real Robots M Müller, S Brahmbhatt, A Deka, Q Leboutet, D Hafner, V Koltun arXiv preprint arXiv:2405.07515, 2024 | | 2024 |
Contact-Rich Object Insertion: Lessons for Zero-Shot Policy Transfer S Brahmbhatt, A Deka, AE Spielberg, M Müller Embracing Contacts-Workshop at ICRA 2023, 2023 | | 2023 |
On Combining Reinforcement Learning & Adversarial Training A Deka Carnegie Mellon University Pittsburgh, PA, 2021 | | 2021 |