Ghasemipour, Seyed Kamyar Seyed

10 publications

NeurIPS 2025 Self-Improving Embodied Foundation Models Seyed Kamyar Seyed Ghasemipour, Ayzaan Wahid, Jonathan Tompson, Pannag R Sanketi, Igor Mordatch

CoRL 2024 ALOHA Unleashed: A Simple Recipe for Robot Dexterity Tony Z. Zhao, Jonathan Tompson, Danny Driess, Pete Florence, Seyed Kamyar Seyed Ghasemipour, Chelsea Finn, Ayzaan Wahid

ICLR 2024 Learning Interactive Real-World Simulators Sherry Yang, Yilun Du, Seyed Kamyar Seyed Ghasemipour, Jonathan Tompson, Leslie Pack Kaelbling, Dale Schuurmans, Pieter Abbeel

NeurIPSW 2023 Learning Interactive Real-World Simulators Sherry Yang, Yilun Du, Seyed Kamyar Seyed Ghasemipour, Jonathan Tompson, Dale Schuurmans, Pieter Abbeel

NeurIPSW 2023 Learning Interactive Real-World Simulators Sherry Yang, Yilun Du, Seyed Kamyar Seyed Ghasemipour, Jonathan Tompson, Dale Schuurmans, Pieter Abbeel

ICML 2022 Blocks Assemble! Learning to Assemble with Large-Scale Structured Reinforcement Learning Seyed Kamyar Seyed Ghasemipour, Satoshi Kataoka, Byron David, Daniel Freeman, Shixiang Shane Gu, Igor Mordatch

ICML 2021 EMaQ: Expected-Max Q-Learning Operator for Simple yet Effective Offline and Online RL Seyed Kamyar Seyed Ghasemipour, Dale Schuurmans, Shixiang Shane Gu

CoRL 2019 A Divergence Minimization Perspective on Imitation Learning Methods Seyed Kamyar Seyed Ghasemipour, Richard Zemel, Shixiang Gu

NeurIPS 2019 SMILe: Scalable Meta Inverse Reinforcement Learning Through Context-Conditional Policies Seyed Kamyar Seyed Ghasemipour, Shixiang Gu, Richard Zemel

ICLRW 2019 Understanding the Relation Between Maximum-Entropy Inverse Reinforcement Learning and Behaviour Cloning Seyed Kamyar Seyed Ghasemipour, Shane Gu, Richard Zemel