Automatic curriculum graph generation for reinforcement learning agents M Svetlik, M Leonetti, J Sinapov, R Shah, N Walker, P Stone Proceedings of the AAAI conference on artificial intelligence 31 (1), 2017 | 110 | 2017 |
Temporal-logic-based reward shaping for continuing reinforcement learning tasks Y Jiang, S Bharadwaj, B Wu, R Shah, U Topcu, P Stone Proceedings of the AAAI Conference on artificial Intelligence 35 (9), 7995-8003, 2021 | 54 | 2021 |
Prism: Pose registration for integrated semantic mapping JW Hart, R Shah, S Kirmani, N Walker, K Baldauf, N John, P Stone 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018 | 12 | 2018 |
Solving service robot tasks: UT Austin Villa@ Home 2019 team report R Shah, Y Jiang, H Karnan, G Briscoe-Martinez, D Mulder, R Gupta, ... arXiv preprint arXiv:1909.06529, 2019 | 11 | 2019 |
Deep r-learning for continual area sweeping R Shah, Y Jiang, J Hart, P Stone 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020 | 10 | 2020 |
Interaction and autonomy in robocup@ home and building-wide intelligence J Hart, H Yedidsion, Y Jiang, N Walker, R Shah, J Thomason, ... arXiv preprint arXiv:1810.02919, 2018 | 6 | 2018 |
Multi-Agent Packet Routing (MAPR): Co-Operative Packet Routing Algorithm with Multi-Agent Reinforcement Learning A Modi, R Shah, K Jain, R Verma, R Shorey, H Saran 2023 15th International Conference on COMmunication Systems & NETworkS …, 2023 | 2 | 2023 |
NeuroCUT: A Neural Approach for Robust Graph Partitioning R Shah, K Jain, S Manchanda, S Medya, S Ranu Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | | 2024 |
UT Austin Villa 2016 Team Description Paper for the Standard Platform League K Genter, J Hanna, J Kelle, E Liebman, J Menashe, S Narvekar, R Shah, ... | | |