Analog Circuit Generator based on Deep Neural Network enhanced Combinatorial Optimization. - Kourosh Hakhamaneshi; Nick Werblun; Pieter Abbeel; Vladimir Stojanovic (DAC, 2019)

BagNet: Berkeley Analog Generator with Layout Optimizer Boosted with Deep Neural Networks. - Kourosh Hakhamaneshi; Nick Werblun; Pieter Abbeel; Vladimir Stojanovic (ICCAD, 2019)

AutoCkt: Deep Reinforcement Learning of Analog Circuit Designs. - Keertana Settaluri; Ameer Haj-Ali; Qijing Huang 001; Kourosh Hakhamaneshi; Borivoje Nikolic (DATE, 2020)

GACEM: Generalized Autoregressive Cross Entropy Method for Multi-Modal Black Box Constraint Satisfaction. - Kourosh Hakhamaneshi; Keertana Settaluri; Pieter Abbeel; Vladimir Stojanovic (CoRR, 2020)

Skill Preferences: Learning to Extract and Execute Robotic Skills from Human Feedback. - Xiaofei Wang 008; Kimin Lee; Kourosh Hakhamaneshi; Pieter Abbeel; Michael Laskin (CoRL, 2021)

JUMBO: Scalable Multi-task Bayesian Optimization using Offline Data. - Kourosh Hakhamaneshi; Pieter Abbeel; Vladimir Stojanovic; Aditya Grover (CoRR, 2021)

Hierarchical Few-Shot Imitation with Skill Transition Models. - Kourosh Hakhamaneshi; Ruihan Zhao 001; Albert Zhan; Pieter Abbeel; Michael Laskin (ICLR, 2022)

Hands-on Reinforcement Learning for Recommender Systems - From Bandits to SlateQ to Offline RL with Ray RLlib. - Christy D. Bergman; Kourosh Hakhamaneshi (RecSys, 2022)

Pre-training Agents for Design Optimization and Control - Kourosh Hakhamaneshi (2022)

Pretraining Graph Neural Networks for Few-Shot Analog Circuit Modeling and Design. - Kourosh Hakhamaneshi; Marcel Nassar; Mariano Phielipp; Pieter Abbeel; Vladimir Stojanovic (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023)

Semi-Supervised One Shot Imitation Learning. - Philipp Wu; Kourosh Hakhamaneshi; Yuqing Du; Igor Mordatch; Aravind Rajeswaran; Pieter Abbeel (RLJ, 2024)

LLMs Can Easily Learn to Reason from Demonstrations Structure, not content, is what matters! - 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 (CoRR, 2025)