Policy Teaching via Environment Poisoning: Training-time Adversarial Attacks against Reinforcement Learning. - Amin Rakhsha; Goran Radanovic; Rati Devidze; Xiaojin Zhu 001; Adish Singla (ICML, 2020)

Reward Poisoning in Reinforcement Learning: Attacks Against Unknown Learners in Unknown Environments. - Amin Rakhsha; Xuezhou Zhang; Xiaojin Zhu 001; Adish Singla (CoRR, 2021)

Policy Teaching in Reinforcement Learning via Environment Poisoning Attacks. - Amin Rakhsha; Goran Radanovic; Rati Devidze; Xiaojin Zhu 001; Adish Singla (J. Mach. Learn. Res., 2021)

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

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

PID Accelerated Temporal Difference Algorithms. - Mark Bedaywi; Amin Rakhsha; Amir-massoud Farahmand (RLJ, 2024)

Deflated Dynamics Value Iteration. - Jongmin Lee; Amin Rakhsha; Ernest K. Ryu; Amir-massoud Farahmand (Trans. Mach. Learn. Res., 2025)