Seyed Kamyar Seyed Ghasemipour | DeepAI

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∙ 03/27/2023

Bi-Manual Block Assembly via Sim-to-Real Reinforcement Learning

Most successes in robotic manipulation have been restricted to single-ar...

0 Satoshi Kataoka, et al. ∙

∙ 05/27/2022

Why So Pessimistic? Estimating Uncertainties for Offline RL through Ensembles, and Why Their Independence Matters

Motivated by the success of ensembles for uncertainty estimation in supe...

0 Seyed Kamyar Seyed Ghasemipour, et al. ∙

∙ 05/23/2022

Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding

We present Imagen, a text-to-image diffusion model with an unprecedented...

0 Chitwan Saharia, et al. ∙

∙ 03/15/2022

Bi-Manual Manipulation and Attachment via Sim-to-Real Reinforcement Learning

Most successes in robotic manipulation have been restricted to single-ar...

0 Satoshi Kataoka, et al. ∙

∙ 03/15/2022

Blocks Assemble! Learning to Assemble with Large-Scale Structured Reinforcement Learning

Assembly of multi-part physical structures is both a valuable end produc...

0 Seyed Kamyar Seyed Ghasemipour, et al. ∙

∙ 10/10/2021

Braxlines: Fast and Interactive Toolkit for RL-driven Behavior Engineering beyond Reward Maximization

The goal of continuous control is to synthesize desired behaviors. In re...

0 Shixiang Shane Gu, et al. ∙

∙ 07/21/2020

EMaQ: Expected-Max Q-Learning Operator for Simple Yet Effective Offline and Online RL

Off-policy reinforcement learning (RL) holds the promise of sample-effic...

0 Seyed Kamyar Seyed Ghasemipour, et al. ∙

∙ 11/06/2019

A Divergence Minimization Perspective on Imitation Learning Methods

In many settings, it is desirable to learn decision-making and control p...

15 Seyed Kamyar Seyed Ghasemipour, et al. ∙

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