Amin Rakhsha

According to our database, Amin Rakhsha authored at least 9 papers between 2020 and 2026.

Collaborative distances:

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

2026

LUMINA: Long-horizon Understanding for Multi-turn Interactive Agents.

Amin Rakhsha, Thomas Hehn, Pietro Mazzaglia, Fabio Valerio Massoli, Arash Behboodi, Tribhuvanesh Orekondy

CoRR, January, 2026

2025

Majority of the Bests: Improving Best-of-N via Bootstrapping.

Amin Rakhsha, Kanika Madan, Tianyu Zhang, Amir-massoud Farahmand, Amir Khasahmadi

CoRR, November, 2025

Deflated Dynamics Value Iteration.

Jongmin Lee, Amin Rakhsha, Ernest K. Ryu, Amir-massoud Farahmand

Trans. Mach. Learn. Res., 2025

2024

PID Accelerated Temporal Difference Algorithms.

Mark Bedaywi, Amin Rakhsha, Amir-massoud Farahmand

RLJ, 2024

Maximum Entropy Model Correction in Reinforcement Learning.

Amin Rakhsha, Mete Kemertas, Mohammad Ghavamzadeh, Amir-massoud Farahmand

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2022

Operator Splitting Value Iteration.

Amin Rakhsha, Andrew Wang, Mohammad Ghavamzadeh, Amir-massoud Farahmand

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

2021

Policy Teaching in Reinforcement Learning via Environment Poisoning Attacks.

Amin Rakhsha, Goran Radanovic, Rati Devidze, Xiaojin Zhu, Adish Singla

J. Mach. Learn. Res., 2021

Reward Poisoning in Reinforcement Learning: Attacks Against Unknown Learners in Unknown Environments.

Amin Rakhsha, Xuezhou Zhang, Xiaojin Zhu, Adish Singla

CoRR, 2021

2020

Policy Teaching via Environment Poisoning: Training-time Adversarial Attacks against Reinforcement Learning.

Amin Rakhsha, Goran Radanovic, Rati Devidze, Xiaojin Zhu, Adish Singla

Proceedings of the 37th International Conference on Machine Learning, 2020