| Value-based reinforcement learning for continuous control robotic manipulation in multi-task sparse reward settings S Rammohan, S Yu, B He, E Hsiung, E Rosen, S Tellex, G Konidaris arXiv preprint arXiv:2107.13356, 2021 | 4 | 2021 |
| Atrial fibrillation stratification via fibrillatory wave characterization using the filter diagonalization method S Mishra, S Rammohan, KZ Rajab, G Dhillon, P Lambiase, R Hunter, ... Computing in Cardiology, 1-4, 2019 | 3 | 2019 |
| Q-functionals for value-based continuous control S Lobel, S Rammohan, B He, S Yu, G Konidaris Proceedings of the AAAI Conference on Artificial Intelligence 37 (7), 8932-8939, 2023 | 2 | 2023 |
| Learning robot motor skills with mixed reality E Rosen, S Rammohan, D Jha arXiv preprint arXiv:2203.11324, 2022 | 2 | 2022 |
| MobileClinic: an end-to-end software architecture for analyzing human movement on a mobile device S Rammohan, Ł Kidzinski, S Delp Stanford, CA: Frontier of AI-Assisted Care (FAC) Scientific Symposium, 2019 | 2 | 2019 |
| Hierarchical reinforcement learning of locomotion policies in response to approaching objects: A preliminary study S Yu, S Rammohan, K Zheng, G Konidaris arXiv preprint arXiv:2203.10616, 2022 | 1 | 2022 |
| Composable Interaction Primitives: A Structured Policy Class for Efficiently Learning Sustained-Contact Manipulation Skills B Abbatematteo, E Rosen, S Thompson, T Akbulut, S Rammohan, ... Proceedings of the 2024 IEEE Conference on Robotics and Automation, 2024 | | 2024 |
| Effectively Learning Initiation Sets in Hierarchical Reinforcement Learning A Bagaria, B Abbatematteo, O Gottesman, M Corsaro, S Rammohan, ... Advances in Neural Information Processing Systems 36, 2024 | | 2024 |
| Hierarchical Empowerment: Towards Tractable Empowerment-Based Skill-Learning A Levy, S Rammohan, A Allievi, S Niekum, G Konidaris arXiv preprint arXiv:2307.02728, 2023 | | 2023 |
| Does DQN really learn? Exploring adversarial training schemes in Pong B He, S Rammohan, J Forde, M Littman arXiv preprint arXiv:2203.10614, 2022 | | 2022 |
| Exploring Improvements in Value Based Deep Reinforcement Learning for Continuous Control S Rammohan, B He, S Yu, E Hsiung, E Rosen, G Konidaris | | 2022 |
| Q-Functionals for Efficient Value-Based Continuous Control S Rammohan, B He, S Yu, S Lobel, G Konidaris | | |
| Rainbow RBF-DQN S Rammohan, B He, S Yu, E Hsiung, E Rosen, G Konidaris | | |
