Sahand Rezaei-Shoshtari | DeepAI

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∙ 05/09/2023

Policy Gradient Methods in the Presence of Symmetries and State Abstractions

Reinforcement learning on high-dimensional and complex problems relies o...

0 Prakash Panangaden, et al. ∙

∙ 11/28/2022

Hypernetworks for Zero-shot Transfer in Reinforcement Learning

In this paper, hypernetworks are trained to generate behaviors across a ...

0 Sahand Rezaei-Shoshtari, et al. ∙

∙ 09/15/2022

Continuous MDP Homomorphisms and Homomorphic Policy Gradient

Abstraction has been widely studied as a way to improve the efficiency a...

5 Sahand Rezaei-Shoshtari, et al. ∙

∙ 01/12/2021

Learning Intuitive Physics with Multimodal Generative Models

Predicting the future interaction of objects when they come into contact...

14 Sahand Rezaei-Shoshtari, et al. ∙

∙ 11/18/2020

Seeing Through your Skin: Recognizing Objects with a Novel Visuotactile Sensor

We introduce a new class of vision-based sensor and associated algorithm...

0 Francois Robert Hogan, et al. ∙

∙ 07/22/2020

Learning the Latent Space of Robot Dynamics for Cutting Interaction Inference

Utilization of latent space to capture a lower-dimensional representatio...

0 Sahand Rezaei-Shoshtari, et al. ∙

∙ 10/05/2019

Cascaded Gaussian Processes for Data-efficient Robot Dynamics Learning

Motivated by the recursive Newton-Euler formulation, we propose a novel ...

0 Sahand Rezaei-Shoshtari, et al. ∙

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