Understanding Finite-State Representations of Recurrent Policy Networks. - Mohamad H. Danesh; Anurag Koul; Alan Fern; Saeed Khorram (CoRR, 2020)

Reducing Neural Network Parameter Initialization Into an SMT Problem. - Mohamad H. Danesh (CoRR, 2020)

Reducing Neural Network Parameter Initialization Into an SMT Problem (Student Abstract). - Mohamad H. Danesh (AAAI, 2021)

Re-understanding Finite-State Representations of Recurrent Policy Networks. - Mohamad H. Danesh; Anurag Koul; Alan Fern; Saeed Khorram (ICML, 2021)

Stochastic Block-ADMM for Training Deep Networks. - Saeed Khorram; Xiao Fu; Mohamad H. Danesh; Zhongang Qi; Fuxin Li (CoRR, 2021)

Out-of-Distribution Dynamics Detection: RL-Relevant Benchmarks and Results. - Mohamad H. Danesh; Alan Fern (CoRR, 2021)

LEADER: Learning Attention over Driving Behaviors for Planning under Uncertainty. - Mohamad Hosein Danesh; Panpan Cai; David Hsu (CoRL, 2022)

Contextual Pre-planning on Reward Machine Abstractions for Enhanced Transfer in Deep Reinforcement Learning. - Guy Azran; Mohamad H. Danesh; Stefano V. Albrecht; Sarah Keren (AAAI, 2024)

Taming the Tail in Class-Conditional GANs: Knowledge Sharing via Unconditional Training at Lower Resolutions. - Saeed Khorram; Mingqi Jiang; Mohamad Shahbazi; Mohamad H. Danesh; Fuxin Li (CVPR, 2024)

Open RL Benchmark: Comprehensive Tracked Experiments for Reinforcement Learning. - Shengyi Huang; Quentin Gallouédec; Florian Felten; Antonin Raffin; Rousslan Fernand Julien Dossa; Yanxiao Zhao; Ryan Sullivan; Viktor Makoviychuk; Denys Makoviichuk; Mohamad H. Danesh; Cyril Roumégous; Jiayi Weng; et al. (CoRR, 2024)

Getting By Goal Misgeneralization With a Little Help From a Mentor. - Tu Trinh; Mohamad H. Danesh; Nguyen X. Khanh; Benjamin Plaut (CoRR, 2024)

Learning to Coordinate with Experts. - Mohamad H. Danesh; Tu Trinh; Benjamin Plaut; Nguyen X. Khanh (CoRR, 2025)

Safe Domain Randomization via Uncertainty-Aware Out-of-Distribution Detection and Policy Adaptation. - Mohamad H. Danesh; Maxime Wabartha; Stanley Wu; Joelle Pineau; Hsiu-Chin Lin (CoRR, 2025)