Kourosh Hakhamaneshi
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
7
Venues
7
Active years
2019–2025
Best venue rank
A*
Where they publish
Papers
7 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | EMNLP | Language Models Can Easily Learn to Reason from Demonstrations. | Dacheng Li, Shiyi Cao, Tyler Griggs, Shu Liu, Xiangxi Mo, Eric Tang, Sumanth Hegde, Kourosh Hakhamaneshi, Shishir G. Patil, Matei Zaharia, Joseph E. Gonzalez, Ion Stoica |
| 2022 | ICLR | Hierarchical Few-Shot Imitation with Skill Transition Models. | Kourosh Hakhamaneshi, Ruihan Zhao, Albert Zhan, Pieter Abbeel, Michael Laskin |
| 2022 | RecSys | Hands-on Reinforcement Learning for Recommender Systems - From Bandits to SlateQ to Offline RL with Ray RLlib. | Christy D. Bergman, Kourosh Hakhamaneshi |
| 2021 | CoRL | Skill Preferences: Learning to Extract and Execute Robotic Skills from Human Feedback. | Xiaofei Wang, Kimin Lee, Kourosh Hakhamaneshi, Pieter Abbeel, Michael Laskin |
| 2020 | DATE | AutoCkt: Deep Reinforcement Learning of Analog Circuit Designs. | Keertana Settaluri, Ameer Haj-Ali, Qijing Huang, Kourosh Hakhamaneshi, Borivoje Nikolic |
| 2019 | DAC | Analog Circuit Generator based on Deep Neural Network enhanced Combinatorial Optimization. | Kourosh Hakhamaneshi, Nick Werblun, Pieter Abbeel, Vladimir Stojanovic |
| 2019 | ICCAD | BagNet: Berkeley Analog Generator with Layout Optimizer Boosted with Deep Neural Networks. | Kourosh Hakhamaneshi, Nick Werblun, Pieter Abbeel, Vladimir Stojanovic |