Cascaded Gaussian Processes for Data-efficient Robot Dynamics Learning. - Sahand Rezaei-Shoshtari; David Meger; Inna Sharf (IROS, 2019)

Learning the Latent Space of Robot Dynamics for Cutting Interaction Inference. - Sahand Rezaei-Shoshtari; David Meger; Inna Sharf (IROS, 2020)

Learning Intuitive Physics with Multimodal Generative Models. - Sahand Rezaei-Shoshtari; Francois Robert Hogan; Michael Jenkin; David Meger; Gregory Dudek (AAAI, 2021)

Seeing Through your Skin: Recognizing Objects with a Novel Visuotactile Sensor. - François Robert Hogan; Michael Jenkin; Sahand Rezaei-Shoshtari; Yogesh A. Girdhar; David Meger; Gregory Dudek (WACV, 2021)

Continuous MDP Homomorphisms and Homomorphic Policy Gradient. - Sahand Rezaei-Shoshtari; Rosie Zhao; Prakash Panangaden; David Meger; Doina Precup (NeurIPS, 2022)

Hypernetworks for Zero-Shot Transfer in Reinforcement Learning. - Sahand Rezaei-Shoshtari; Charlotte Morissette; François Robert Hogan; Gregory Dudek; David Meger (AAAI, 2023)

Fairness in Reinforcement Learning with Bisimulation Metrics. - Sahand Rezaei-Shoshtari; Hanna Yurchyk; Scott Fujimoto; Doina Precup; David Meger (CoRR, 2024)

Policy Gradient Methods in the Presence of Symmetries and State Abstractions. - Prakash Panangaden; Sahand Rezaei-Shoshtari; Rosie Zhao; David Meger; Doina Precup (J. Mach. Learn. Res., 2024)