| Does self-supervised learning really improve reinforcement learning from pixels? X Li, J Shang, S Das, M Ryoo Advances in Neural Information Processing Systems 35, 30865-30881, 2022 | 23 | 2022 |
| StARformer: Transformer with State-Action-Reward Representations for Visual Reinforcement Learning J Shang, K Kahatapitiya, X Li, MS Ryoo European Conference on Computer Vision, 2022 | 22 | 2022 |
| Self-supervised disentangled representation learning for third-person imitation learning J Shang, MS Ryoo 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021 | 18 | 2021 |
| Learning viewpoint-agnostic visual representations by recovering tokens in 3d space J Shang, S Das, M Ryoo Advances in Neural Information Processing Systems 35, 31031-31044, 2022 | 10 | 2022 |
| StARformer: Transformer with State-Action-Reward Representations for Robot Learning J Shang, X Li, K Kahatapitiya, YC Lee, MS Ryoo IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 | 6 | 2022 |
| TRITON: Neural Neural Textures for Better Sim2Real RD Burgert, J Shang, X Li, MS Ryoo 6th Annual Conference on Robot Learning, 2022 | 6* | 2022 |
| Crossway diffusion: Improving diffusion-based visuomotor policy via self-supervised learning X Li, V Belagali, J Shang, MS Ryoo arXiv preprint arXiv:2307.01849, 2023 | 2 | 2023 |
| Learning for Expressive Task-Related Sentence Representations X Bai, J Shang, Y Sun, N Balasubramanian arXiv, 2022 | 1 | 2022 |
| Active Vision Reinforcement Learning under Limited Visual Observability J Shang, MS Ryoo Advances in Neural Information Processing Systems 36, 2024 | | 2024 |
| Continual Learning with Global Prototypes: Beyond the Scope of Task Supervision X Bai, J Shang, Y Sun, N Balasubramanian | | 2023 |
| Enhancing Continual Learning with Global Prototypes: Counteracting Negative Representation Drift X Bai, J Shang, Y Sun, N Balasubramanian arXiv preprint arXiv:2205.12186, 2022 | | 2022 |
| StARformer: Transformer with State-Action-Reward Representations for Visual Reinforcement Learning–Supplementary Material J Shang, K Kahatapitiya, X Li, MS Ryoo | | |
Michael S. RyooStony Brook University; Google DeepMindVerified email at cs.stonybrook.edu
