Kourosh Hakhamaneshi

18 papers A* 2A 3Misc 1Journal 10Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	LLMs Can Easily Learn to Reason from Demonstrations Structure, not content, is what matters! CoRR 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
2025	—	`conf`	Language Models Can Easily Learn to Reason from Demonstrations. EMNLP (Findings) 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
2024	J	`jnl`	Semi-Supervised One Shot Imitation Learning. RLJ Philipp Wu, Kourosh Hakhamaneshi, Yuqing Du, Igor Mordatch, Aravind Rajeswaran, Pieter Abbeel
2024	J	`jnl`	Semi-Supervised One-Shot Imitation Learning. CoRR Philipp Wu, Kourosh Hakhamaneshi, Yuqing Du, Igor Mordatch, Aravind Rajeswaran, Pieter Abbeel
2023	J	`jnl`	Pretraining Graph Neural Networks for Few-Shot Analog Circuit Modeling and Design. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Kourosh Hakhamaneshi, Marcel Nassar, Mariano Phielipp, Pieter Abbeel, Vladimir Stojanovic
2022	A	`conf`	Hands-on Reinforcement Learning for Recommender Systems - From Bandits to SlateQ to Offline RL with Ray RLlib. RecSys Christy D. Bergman, Kourosh Hakhamaneshi
2022	A*	`conf`	Hierarchical Few-Shot Imitation with Skill Transition Models. ICLR Kourosh Hakhamaneshi, Ruihan Zhao, Albert Zhan, Pieter Abbeel, Michael Laskin
2022	—	`—`	Pre-training Agents for Design Optimization and Control Kourosh Hakhamaneshi
2022	J	`jnl`	Pretraining Graph Neural Networks for few-shot Analog Circuit Modeling and Design. CoRR Kourosh Hakhamaneshi, Marcel Nassar, Mariano Phielipp, Pieter Abbeel, Vladimir Stojanovic
2021	J	`jnl`	Hierarchical Few-Shot Imitation with Skill Transition Models. CoRR Kourosh Hakhamaneshi, Ruihan Zhao, Albert Zhan, Pieter Abbeel, Michael Laskin
2021	J	`jnl`	JUMBO: Scalable Multi-task Bayesian Optimization using Offline Data. CoRR Kourosh Hakhamaneshi, Pieter Abbeel, Vladimir Stojanovic, Aditya Grover
2021	Misc	`conf`	Skill Preferences: Learning to Extract and Execute Robotic Skills from Human Feedback. CoRL Xiaofei Wang, Kimin Lee, Kourosh Hakhamaneshi, Pieter Abbeel, Michael Laskin
2021	J	`jnl`	Skill Preferences: Learning to Extract and Execute Robotic Skills from Human Feedback. CoRR Xiaofei Wang, Kimin Lee, Kourosh Hakhamaneshi, Pieter Abbeel, Michael Laskin
2020	A	`conf`	AutoCkt: Deep Reinforcement Learning of Analog Circuit Designs. DATE Keertana Settaluri, Ameer Haj-Ali, Qijing Huang, Kourosh Hakhamaneshi, Borivoje Nikolic
2020	J	`jnl`	GACEM: Generalized Autoregressive Cross Entropy Method for Multi-Modal Black Box Constraint Satisfaction. CoRR Kourosh Hakhamaneshi, Keertana Settaluri, Pieter Abbeel, Vladimir Stojanovic
2019	A*	`conf`	Analog Circuit Generator based on Deep Neural Network enhanced Combinatorial Optimization. DAC Kourosh Hakhamaneshi, Nick Werblun, Pieter Abbeel, Vladimir Stojanovic
2019	A	`conf`	BagNet: Berkeley Analog Generator with Layout Optimizer Boosted with Deep Neural Networks. ICCAD Kourosh Hakhamaneshi, Nick Werblun, Pieter Abbeel, Vladimir Stojanovic
2019	J	`jnl`	BagNet: Berkeley Analog Generator with Layout Optimizer Boosted with Deep Neural Networks. CoRR Kourosh Hakhamaneshi, Nick Werblun, Pieter Abbeel, Vladimir Stojanovic