Michael Laskin
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
7
Venues
4
Active years
2020–2023
Best venue rank
A*
Where they publish
Papers
7 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2023 | ICLR | In-context Reinforcement Learning with Algorithm Distillation. | Michael Laskin, Luyu Wang, Junhyuk Oh, Emilio Parisotto, Stephen Spencer, Richie Steigerwald, DJ Strouse, Steven Stenberg Hansen, Angelos Filos, Ethan Brooks, Maxime Gazeau, Himanshu Sahni, Satinder Singh, Volodymyr Mnih |
| 2022 | ICLR | Hierarchical Few-Shot Imitation with Skill Transition Models. | Kourosh Hakhamaneshi, Ruihan Zhao, Albert Zhan, Pieter Abbeel, Michael Laskin |
| 2022 | IROS | Learning Visual Robotic Control Efficiently with Contrastive Pre-training and Data Augmentation. | Albert Zhan, Ruihan Zhao, Lerrel Pinto, Pieter Abbeel, Michael Laskin |
| 2021 | CoRL | Skill Preferences: Learning to Extract and Execute Robotic Skills from Human Feedback. | Xiaofei Wang, Kimin Lee, Kourosh Hakhamaneshi, Pieter Abbeel, Michael Laskin |
| 2021 | ICML | SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning. | Kimin Lee, Michael Laskin, Aravind Srinivas, Pieter Abbeel |
| 2021 | ICML | Decoupling Representation Learning from Reinforcement Learning. | Adam Stooke, Kimin Lee, Pieter Abbeel, Michael Laskin |
| 2020 | ICML | CURL: Contrastive Unsupervised Representations for Reinforcement Learning. | Michael Laskin, Aravind Srinivas, Pieter Abbeel |