Milad Aghajohari

According to our database, Milad Aghajohari authored at least 14 papers between 2019 and 2026.

Collaborative distances:

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

2026

DeepSeek-R1 Thoughtology: Let's think about LLM reasoning.

Sara Vera Marjanovic, Arkil Patel, Vaibhav Adlakha, Milad Aghajohari, Parishad BehnamGhader, Mehar Bhatia, Aditi Khandelwal, Austin Kraft, Benno Krojer, Xing Han Lù, Nicholas Meade, Dongchan Shin, Amirhossein Kazemnejad, Gaurav Kamath, Marius Mosbach, Karolina Stanczak, Siva Reddy

Trans. Mach. Learn. Res., 2026

2025

Learning Robust Social Strategies with Large Language Models.

Dereck Piche, Mohammed Muqeeth, Milad Aghajohari, Juan Agustin Duque, Michael Noukhovitch, Aaron C. Courville

CoRR, November, 2025

The Markovian Thinker.

Milad Aghajohari, Kamran Chitsaz, Amirhossein Kazemnejad, Sarath Chandar, Alessandro Sordoni, Aaron C. Courville, Siva Reddy

CoRR, October, 2025

DeepSeek-R1 Thoughtology: Let's about LLM Reasoning.

Sara Vera Marjanovic, Arkil Patel, Vaibhav Adlakha, Milad Aghajohari, Parishad BehnamGhader, Mehar Bhatia, Aditi Khandelwal, Austin Kraft, Benno Krojer, Xing Han Lù, Nicholas Meade, Dongchan Shin, Amirhossein Kazemnejad, Gaurav Kamath, Marius Mosbach, Karolina Stanczak, Siva Reddy

CoRR, April, 2025

VinePPO: Refining Credit Assignment in RL Training of LLMs.

Amirhossein Kazemnejad, Milad Aghajohari, Eva Portelance, Alessandro Sordoni, Siva Reddy, Aaron C. Courville, Nicolas Le Roux

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Advantage Alignment Algorithms.

Juan Agustin Duque, Milad Aghajohari, Tim Cooijmans, Razvan Ciuca, Tianyu Zhang, Gauthier Gidel, Aaron C. Courville

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

VinePPO: Unlocking RL Potential For LLM Reasoning Through Refined Credit Assignment.

Amirhossein Kazemnejad, Milad Aghajohari, Eva Portelance, Alessandro Sordoni, Siva Reddy, Aaron C. Courville, Nicolas Le Roux

CoRR, 2024

Advantage Alignment Algorithms.

Juan Agustin Duque, Milad Aghajohari, Tim Cooijmans, Tianyu Zhang, Aaron C. Courville

CoRR, 2024

Best Response Shaping.

Milad Aghajohari, Tim Cooijmans, Juan Agustin Duque, Shunichi Akatsuka, Aaron C. Courville

RLJ, 2024

LOQA: Learning with Opponent Q-Learning Awareness.

Milad Aghajohari, Juan Agustin Duque, Tim Cooijmans, Aaron C. Courville

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Meta-Value Learning: a General Framework for Learning with Learning Awareness.

Tim Cooijmans, Milad Aghajohari, Aaron C. Courville

CoRR, 2023

2022

Riemannian Diffusion Models.

Chin-Wei Huang, Milad Aghajohari, Joey Bose, Prakash Panangaden, Aaron C. Courville

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Degree-based Feature Is All You Need: Science4Cast Report.

Milad Aghajohari, Mohammad Sadegh Akhondzadeh, Saleh Ashkboos, Kamran Chitsaz

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2019

Determinacy in Discrete-Bidding Infinite-Duration Games.

Milad Aghajohari, Guy Avni, Thomas A. Henzinger

Proceedings of the 30th International Conference on Concurrency Theory, 2019