Mohamad H. Danesh

According to our database, Mohamad H. Danesh authored at least 11 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Getting By Goal Misgeneralization With a Little Help From a Mentor.

Tu Trinh, Mohamad H. Danesh, Nguyen X. Khanh, Benjamin Plaut

CoRR, 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, Chufan Chen, Md Masudur Rahman, João G. M. Araújo, Guorui Quan, Daniel Tan, Timo Klein, Rujikorn Charakorn, Mark Towers, Yann Berthelot, Kinal Mehta, Dipam Chakraborty, Arjun KG, Valentin Charraut, Chang Ye, Zichen Liu, Lucas N. Alegre, Alexander Nikulin, Xiao Hu, Tianlin Liu, Jongwook Choi, Brent Yi

CoRR, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Contextual Pre-planning on Reward Machine Abstractions for Enhanced Transfer in Deep Reinforcement Learning.

Guy Azran, Mohamad H. Danesh, Stefano V. Albrecht, Sarah Keren

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2022

LEADER: Learning Attention over Driving Behaviors for Planning under Uncertainty.

Mohamad Hosein Danesh, Panpan Cai, David Hsu

Proceedings of the Conference on Robot Learning, 2022

2021

Out-of-Distribution Dynamics Detection: RL-Relevant Benchmarks and Results.

Mohamad H. Danesh, Alan Fern

CoRR, 2021

Stochastic Block-ADMM for Training Deep Networks.

Saeed Khorram, Xiao Fu, Mohamad H. Danesh, Zhongang Qi, Fuxin Li

CoRR, 2021

Re-understanding Finite-State Representations of Recurrent Policy Networks.

Mohamad H. Danesh, Anurag Koul, Alan Fern, Saeed Khorram

Proceedings of the 38th International Conference on Machine Learning, 2021

Reducing Neural Network Parameter Initialization Into an SMT Problem (Student Abstract).

Mohamad H. Danesh

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Reducing Neural Network Parameter Initialization Into an SMT Problem.

Mohamad H. Danesh

CoRR, 2020

Understanding Finite-State Representations of Recurrent Policy Networks.

Mohamad H. Danesh, Anurag Koul, Alan Fern, Saeed Khorram

CoRR, 2020