| Machine learning based path planning for improved rover navigation N Abcouwer, S Daftry, T Del Sesto, O Toupet, M Ono, S Venkatraman, ... 2021 IEEE Aerospace Conference (50100), 1-9, 2021 | 30 | 2021 |
| Mlnav: Learning to safely navigate on martian terrains S Daftry, N Abcouwer, T Del Sesto, S Venkatraman, J Song, L Igel, A Byon, ... IEEE Robotics and Automation Letters 7 (2), 5461-5468, 2022 | 18 | 2022 |
| Deep residual neural networks for image in audio steganography (Workshop Paper) S Agarwal, S Venkatraman 2020 IEEE Sixth International Conference on Multimedia Big Data (BigMM), 430-434, 2020 | 11* | 2020 |
| Reasoning with latent diffusion in offline reinforcement learning S Venkatraman, S Khaitan, RT Akella, J Dolan, J Schneider, G Berseth International Conference on Learning Representations, 2024 | 6 | 2024 |
| Learning Temporally Abstract World Models without Online Experimentation B Freed, S Venkatraman, GA Sartoretti, J Schneider, H Choset International Conference on Machine Learning, 2023 | 3 | 2023 |
| Amortizing intractable inference in diffusion models for vision, language, and control S Venkatraman, M Jain, L Scimeca, M Kim, M Sendera, M Hasan, L Rowe, ... arXiv preprint arXiv:2405.20971, 2024 | 2 | 2024 |
| 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 |
| Latent skill models for offline reinforcement learning S Venkatraman PhD thesis, Master’s thesis, Carnegie Mellon University Pittsburgh, PA, 2023 | 2 | 2023 |
Shreyansh DaftryNASA Jet Propulsion Laboratory | Caltech | Ex-CMU | Ex-TU GrazVerified email at jpl.nasa.gov
