| Accelerating Reinforcement Learning with Learned Skill Priors K Pertsch, Y Lee, JJ Lim Conference on Robot Learning (CoRL), 2020, 2020 | 105 | 2020 |
| iPose: instance-aware 6D pose estimation of partly occluded objects OH Jafari*, SK Mustikovela*, K Pertsch, E Brachmann, C Rother Asian Conference on Computer Vision (ACCV), 2018, 2017 | 62* | 2017 |
| Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors K Pertsch, O Rybkin, F Ebert, C Finn, D Jayaraman, S Levine Conference on Neural Information Processing Systems (NeurIPS), 2020, 2020 | 38 | 2020 |
| Demonstration-Guided Reinforcement Learning with Learned Skills K Pertsch, Y Lee, Y Wu, JJ Lim Conference on Robot Learning (CoRL), 2021, 2021 | 27* | 2021 |
| Motion Planner Augmented Reinforcement Learning for Robot Manipulation in Obstructed Environments J Yamada, Y Lee, G Salhotra, K Pertsch, M Pflueger, GS Sukhatme, ... Conference on Robot Learning (CoRL), 2020, 2020 | 27* | 2020 |
| Learning what you can do before doing anything O Rybkin*, K Pertsch*, KG Derpanis, K Daniilidis, A Jaegle International Conference on Learning Representations (ICLR), 2019, 2018 | 25* | 2018 |
| Keyframing the Future: Keyframe Discovery for Visual Prediction and Planning K Pertsch, O Rybkin, J Yang, K Derpanis, K Daniilidis, J Lim, A Jaegle 2nd Conference on Learning for Dynamics and Control (L4DC), 2020, 2020 | 19* | 2020 |
| Skill-based Meta-Reinforcement Learning T Nam, SH Sun, K Pertsch, SJ Hwang, JJ Lim International Conference on Learning Representations (ICLR), 2022, 2022 | 15 | 2022 |
| Rt-1: Robotics transformer for real-world control at scale A Brohan, N Brown, J Carbajal, Y Chebotar, J Dabis, C Finn, ... arXiv preprint arXiv:2212.06817, 2022 | 3 | 2022 |
| Task-Induced Representation Learning J Yamada, K Pertsch, A Gunjal, JJ Lim International Conference on Learning Representations (ICLR), 2022, 2022 | 3 | 2022 |
| Minimum description length skills for accelerated reinforcement learning J Zhang, K Pertsch, J Yang, JJ Lim Self-Supervision for Reinforcement Learning Workshop-ICLR 2021, 2021 | 2 | 2021 |
| Reinforcement Learning als Ansatz für zukünftige Diagnosemethoden K Pertsch, DIR Ließner, IB Bäker Diagnose in mechatronischen Fahrzeugsystemen XI, Dresden, 157-167, 2017 | 1 | 2017 |
| Cross-Domain Transfer via Semantic Skill Imitation K Pertsch, R Desai, V Kumar, F Meier, JJ Lim, D Batra, A Rai Conference on Robot Learning (CoRL), 2022, 2022 | | 2022 |
| PATO: Policy Assisted TeleOperation for Scalable Robot Data Collection S Dass, K Pertsch, H Zhang, Y Lee, JJ Lim, S Nikolaidis arXiv preprint arXiv:2212.04708, 2022 | | 2022 |
| Transformer Adapters for Robot Learning A Liang, I Singh, K Pertsch, J Thomason CoRL 2022 Workshop on Pre-training Robot Learning, 0 | | |
| SPRINT: Scalable Semantic Policy Pre-training via Language Instruction Relabeling J Zhang, K Pertsch, J Zhang, T Nam, SJ Hwang, X Ren, JJ Lim Deep Reinforcement Learning Workshop NeurIPS 2022, 0 | | |
Joseph J. LimAssociate Professor at KAISTBestätigte E-Mail-Adresse bei csail.mit.edu
