Rakhsha, Amin

6 publications

TMLR 2025 Deflated Dynamics Value Iteration Jongmin Lee, Amin Rakhsha, Ernest K. Ryu, Amir-massoud Farahmand

NeurIPS 2025 Majority of the Bests: Improving Best-of-N via Bootstrapping Amin Rakhsha, Kanika Madan, Tianyu Zhang, Amir-massoud Farahmand, Amir Khasahmadi

ICLR 2024 Maximum Entropy Model Correction in Reinforcement Learning Amin Rakhsha, Mete Kemertas, Mohammad Ghavamzadeh, Amir-massoud Farahmand

NeurIPS 2022 Operator Splitting Value Iteration Amin Rakhsha, Andrew Wang, Mohammad Ghavamzadeh, Amir-massoud Farahmand

JMLR 2021 Policy Teaching in Reinforcement Learning via Environment Poisoning Attacks Amin Rakhsha, Goran Radanovic, Rati Devidze, Xiaojin Zhu, Adish Singla

ICML 2020 Policy Teaching via Environment Poisoning: Training-Time Adversarial Attacks Against Reinforcement Learning Amin Rakhsha, Goran Radanovic, Rati Devidze, Xiaojin Zhu, Adish Singla