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 | 28* | 2022 |
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 | 26 | 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 | 23 | 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 | 13 | 2022 |
Crossway diffusion: Improving diffusion-based visuomotor policy via self-supervised learning X Li, V Belagali, J Shang, MS Ryoo 2024 IEEE International Conference on Robotics and Automation (ICRA), 16841 …, 2024 | 12 | 2024 |
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 | 7 | 2022 |
Triton: Neural neural textures for better sim2real RD Burgert, J Shang, X Li, MS Ryoo 6th Annual Conference on Robot Learning, 2022 | 7* | 2022 |
Learning for Expressive Task-Related Sentence Representations X Bai, J Shang, Y Sun, N Balasubramanian arXiv, 2022 | 1 | 2022 |
Theia: Distilling Diverse Vision Foundation Models for Robot Learning J Shang, K Schmeckpeper, BB May, MV Minniti, T Kelestemur, D Watkins, ... arXiv preprint arXiv:2407.20179, 2024 | | 2024 |
LLaRA: Supercharging Robot Learning Data for Vision-Language Policy X Li, C Mata, J Park, K Kahatapitiya, YS Jang, J Shang, K Ranasinghe, ... arXiv preprint arXiv:2406.20095, 2024 | | 2024 |
Active vision reinforcement learning under limited visual observability J Shang, MS Ryoo Advances in Neural Information Processing Systems 36, 2024 | | 2024 |
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 |
Continual Learning with Global Prototypes: Beyond the Scope of Task Supervision X Bai, J Shang, Y Sun, N Balasubramanian | | |
StARformer: Transformer with State-Action-Reward Representations for Visual Reinforcement Learning–Supplementary Material J Shang, K Kahatapitiya, X Li, MS Ryoo | | |