Amir-massoud Farahmand

72 papers A* 19A 1C 2Journal 42Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Press Start to Charge: Videogaming the Online Centralized Charging Scheduling Problem. CoRR Alireza Ghahtarani, Martin Cousineau, Amir-massoud Farahmand, Jorge E. Mendoza
2025	A*	`conf`	A Truncated Newton Method for Optimal Transport. ICLR Mete Kemertas, Amir-massoud Farahmand, Allan Douglas Jepson
2025	J	`jnl`	A Truncated Newton Method for Optimal Transport. CoRR Mete Kemertas, Amir-massoud Farahmand, Allan D. Jepson
2025	A*	`conf`	Calibrated Value-Aware Model Learning with Probabilistic Environment Models. ICML Claas Voelcker, Anastasiia Pedan, Arash Ahmadian, Romina Abachi, Igor Gilitschenski, Amir-massoud Farahmand
2025	J	`jnl`	Calibrated Value-Aware Model Learning with Stochastic Environment Models. CoRR Claas Voelcker, Anastasiia Pedan, Arash Ahmadian, Romina Abachi, Igor Gilitschenski, Amir-massoud Farahmand
2025	A*	`conf`	Categorical Distributional Reinforcement Learning with Kullback-Leibler Divergence: Convergence and Asymptotics. ICML Tyler Kastner, Mark Rowland, Yunhao Tang, Murat A. Erdogdu, Amir-massoud Farahmand
2025	J	`jnl`	Deflated Dynamics Value Iteration. Trans. Mach. Learn. Res. Jongmin Lee, Amin Rakhsha, Ernest K. Ryu, Amir-massoud Farahmand
2025	J	`jnl`	Efficient and Accurate Optimal Transport with Mirror Descent and Conjugate Gradients. Trans. Mach. Learn. Res. Mete Kemertas, Allan Douglas Jepson, Amir-massoud Farahmand
2025	A*	`conf`	MAD-TD: Model-Augmented Data stabilizes High Update Ratio RL. ICLR Claas Voelcker, Marcel Hussing, Eric Eaton, Amir-massoud Farahmand, Igor Gilitschenski
2025	J	`jnl`	Majority of the Bests: Improving Best-of-N via Bootstrapping. CoRR Amin Rakhsha, Kanika Madan, Tianyu Zhang, Amir-massoud Farahmand, Amir Khasahmadi
2025	A*	`conf`	PANDAS: Improving Many-shot Jailbreaking via Positive Affirmation, Negative Demonstration, and Adaptive Sampling. ICML Avery Ma, Yangchen Pan, Amir-massoud Farahmand
2025	J	`jnl`	PANDAS: Improving Many-shot Jailbreaking via Positive Affirmation, Negative Demonstration, and Adaptive Sampling. CoRR Avery Ma, Yangchen Pan, Amir-massoud Farahmand
2025	J	`jnl`	Relative Entropy Pathwise Policy Optimization. CoRR Claas Voelcker, Axel Brunnbauer, Marcel Hussing, Michal Nauman, Pieter Abbeel, Eric Eaton, Radu Grosu, Amir-massoud Farahmand, Igor Gilitschenski
2024	J	`jnl`	Deflated Dynamics Value Iteration. CoRR Jongmin Lee, Amin Rakhsha, Ernest K. Ryu, Amir-massoud Farahmand
2024	J	`jnl`	Dissecting Deep RL with High Update Ratios: Combatting Value Divergence. RLJ Marcel Hussing, Claas Voelcker, Igor Gilitschenski, Amir-massoud Farahmand, Eric Eaton
2024	J	`jnl`	Dissecting Deep RL with High Update Ratios: Combatting Value Overestimation and Divergence. CoRR Marcel Hussing, Claas Voelcker, Igor Gilitschenski, Amir-massoud Farahmand, Eric Eaton
2024	—	`conf`	Improving Adversarial Transferability via Model Alignment. ECCV (62) Avery Ma, Amir-massoud Farahmand, Yangchen Pan, Philip Torr, Jindong Gu
2024	J	`jnl`	MAD-TD: Model-Augmented Data stabilizes High Update Ratio RL. CoRR Claas Völcker, Marcel Hussing, Eric Eaton, Amir-massoud Farahmand, Igor Gilitschenski
2024	A*	`conf`	Maximum Entropy Model Correction in Reinforcement Learning. ICLR Amin Rakhsha, Mete Kemertas, Mohammad Ghavamzadeh, Amir-massoud Farahmand
2024	J	`jnl`	PID Accelerated Temporal Difference Algorithms. RLJ Mark Bedaywi, Amin Rakhsha, Amir-massoud Farahmand
2024	J	`jnl`	PID Accelerated Temporal Difference Algorithms. CoRR Mark Bedaywi, Amin Rakhsha, Amir-massoud Farahmand
2024	J	`jnl`	When does Self-Prediction help? Understanding Auxiliary Tasks in Reinforcement Learning. RLJ Claas Voelcker, Tyler Kastner, Igor Gilitschenski, Amir-massoud Farahmand
2024	J	`jnl`	When does Self-Prediction help? Understanding Auxiliary Tasks in Reinforcement Learning. CoRR Claas Voelcker, Tyler Kastner, Igor Gilitschenski, Amir-massoud Farahmand
2023	A*	`conf`	Distributional Model Equivalence for Risk-Sensitive Reinforcement Learning. NeurIPS Tyler Kastner, Murat A. Erdogdu, Amir-massoud Farahmand
2023	J	`jnl`	Distributional Model Equivalence for Risk-Sensitive Reinforcement Learning. CoRR Tyler Kastner, Murat A. Erdogdu, Amir-massoud Farahmand
2023	J	`jnl`	Efficient and Accurate Optimal Transport with Mirror Descent and Conjugate Gradients. CoRR Mete Kemertas, Allan D. Jepson, Amir-massoud Farahmand
2023	J	`jnl`	Improving Adversarial Transferability via Model Alignment. CoRR Avery Ma, Amir-massoud Farahmand, Yangchen Pan, Philip H. S. Torr, Jindong Gu
2023	J	`jnl`	Maximum Entropy Model Correction in Reinforcement Learning. CoRR Amin Rakhsha, Mete Kemertas, Mohammad Ghavamzadeh, Amir-massoud Farahmand
2023	J	`jnl`	Understanding the robustness difference between stochastic gradient descent and adaptive gradient methods. CoRR Avery Ma, Yangchen Pan, Amir-massoud Farahmand
2023	J	`jnl`	Understanding the robustness difference between stochastic gradient descent and adaptive gradient methods. Trans. Mach. Learn. Res. Avery Ma, Yangchen Pan, Amir-massoud Farahmand
2023	J	`jnl`	λ-AC: Learning latent decision-aware models for reinforcement learning in continuous state-spaces. CoRR Claas Voelcker, Arash Ahmadian, Romina Abachi, Igor Gilitschenski, Amir-massoud Farahmand
2022	A*	`conf`	Learning Object-Oriented Dynamics for Planning from Text. ICLR Guiliang Liu, Ashutosh Adhikari, Amir-massoud Farahmand, Pascal Poupart
2022	A*	`conf`	Operator Splitting Value Iteration. NeurIPS Amin Rakhsha, Andrew Wang, Mohammad Ghavamzadeh, Amir-massoud Farahmand
2022	J	`jnl`	Operator Splitting Value Iteration. CoRR Amin Rakhsha, Andrew Wang, Mohammad Ghavamzadeh, Amir-massoud Farahmand
2022	A	`conf`	Understanding and mitigating the limitations of prioritized experience replay. UAI Yangchen Pan, Jincheng Mei, Amir-massoud Farahmand, Martha White, Hengshuai Yao, Mohsen Rohani, Jun Luo
2022	A*	`conf`	Value Gradient weighted Model-Based Reinforcement Learning. ICLR Claas Voelcker, Victor Liao, Animesh Garg, Amir-massoud Farahmand
2022	J	`jnl`	Value Gradient weighted Model-Based Reinforcement Learning. CoRR Claas Voelcker, Victor Liao, Animesh Garg, Amir-massoud Farahmand
2021	J	`jnl`	Deep Reinforcement Learning for Online Control of Stochastic Partial Differential Equations. CoRR Erfan Pirmorad, Faraz Khoshbakhtian, Farnam Mansouri, Amir-massoud Farahmand
2020	J	`jnl`	Adversarial Robustness through Regularization: A Second-Order Approach. CoRR Avery Ma, Fartash Faghri, Amir-massoud Farahmand
2020	A*	`conf`	An implicit function learning approach for parametric modal regression. NeurIPS Yangchen Pan, Ehsan Imani, Amir-massoud Farahmand, Martha White
2020	J	`jnl`	An implicit function learning approach for parametric modal regression. CoRR Yangchen Pan, Ehsan Imani, Martha White, Amir-massoud Farahmand
2020	J	`jnl`	Beyond Prioritized Replay: Sampling States in Model-Based RL via Simulated Priorities. CoRR Jincheng Mei, Yangchen Pan, Martha White, Amir-massoud Farahmand, Hengshuai Yao
2020	A*	`conf`	Frequency-based Search-control in Dyna. ICLR Yangchen Pan, Jincheng Mei, Amir-massoud Farahmand
2020	J	`jnl`	Frequency-based Search-control in Dyna. CoRR Yangchen Pan, Jincheng Mei, Amir-massoud Farahmand
2020	J	`jnl`	Policy-Aware Model Learning for Policy Gradient Methods. CoRR Romina Abachi, Mohammad Ghavamzadeh, Amir-massoud Farahmand
2020	J	`jnl`	The act of remembering: a study in partially observable reinforcement learning. CoRR Rodrigo Toro Icarte, Richard Anthony Valenzano, Toryn Q. Klassen, Phillip J. K. Christoffersen, Amir-massoud Farahmand, Sheila A. McIlraith
2019	—	`conf`	Dimensionality Reduction for Representing the Knowledge of Probabilistic Models. ICLR (Poster) Marc T. Law, Jake Snell, Amir-massoud Farahmand, Raquel Urtasun, Richard S. Zemel
2019	A*	`conf`	Hill Climbing on Value Estimates for Search-control in Dyna. IJCAI Yangchen Pan, Hengshuai Yao, Amir-massoud Farahmand, Martha White
2019	J	`jnl`	Hill Climbing on Value Estimates for Search-control in Dyna. CoRR Yangchen Pan, Hengshuai Yao, Amir-massoud Farahmand, Martha White
2019	—	`conf`	Improving Skin Condition Classification with a Visual Symptom Checker Trained Using Reinforcement Learning. MICCAI (4) Mohamed Akrout, Amir-massoud Farahmand, Tory Jarmain, Latif Abid
2019	J	`jnl`	Improving Skin Condition Classification with a Visual Symptom Checker Trained using Reinforcement Learning. CoRR Mohamed Akrout, Amir-massoud Farahmand, Tory Jarmain, Latif Abid
2019	A*	`conf`	Value Function in Frequency Domain and the Characteristic Value Iteration Algorithm. NeurIPS Amir-massoud Farahmand
2018	J	`jnl`	Improving Skin Condition Classification with a Question Answering Model. CoRR Mohamed Akrout, Amir-massoud Farahmand, Tory Jarmain
2018	A*	`conf`	Iterative Value-Aware Model Learning. NeurIPS Amir-massoud Farahmand
2018	A*	`conf`	Reinforcement Learning with Function-Valued Action Spaces for Partial Differential Equation Control. ICML Yangchen Pan, Amir-massoud Farahmand, Martha White, Saleh Nabi, Piyush Grover, Daniel Nikovski
2018	J	`jnl`	Reinforcement Learning with Function-Valued Action Spaces for Partial Differential Equation Control. CoRR Yangchen Pan, Amir-massoud Farahmand, Martha White, Saleh Nabi, Piyush Grover, Daniel Nikovski
2017	J	`jnl`	Attentional Network for Visual Object Detection. CoRR Kota Hara, Ming-Yu Liu, Oncel Tuzel, Amir-massoud Farahmand
2017	C	`conf`	Deep reinforcement learning for partial differential equation control. ACC Amir-massoud Farahmand, Saleh Nabi, Daniel Nikolaev Nikovski
2017	—	`conf`	Learning to regulate rolling ball motion. SSCI Devesh K. Jha, Daniel Nikovski, William Yerazunis, Amir-massoud Farahmand
2017	—	`conf`	Random Projection Filter Bank for Time Series Data. NIPS Amir-massoud Farahmand, Sepideh Pourazarm, Daniel Nikovski
2016	—	`conf`	Learning to control partial differential equations: Regularized Fitted Q-Iteration approach. CDC Amir-massoud Farahmand, Saleh Nabi, Piyush Grover, Daniel Nikovski
2016	C	`conf`	Learning-based modular indirect adaptive control for a class of nonlinear systems. ACC Mouhacine Benosman, Amir-massoud Farahmand, Meng Xia
2016	J	`jnl`	Regularized Policy Iteration with Nonparametric Function Spaces. J. Mach. Learn. Res. Amir-massoud Farahmand, Mohammad Ghavamzadeh, Csaba Szepesvári, Shie Mannor
2016	A*	`conf`	Truncated Approximate Dynamic Programming with Task-Dependent Terminal Value. AAAI Amir-massoud Farahmand, Daniel Nikolaev Nikovski, Yuji Igarashi, Hiroki Konaka
2015	A*	`conf`	Approximate MaxEnt Inverse Optimal Control and Its Application for Mental Simulation of Human Interactions. AAAI De-An Huang, Amir-massoud Farahmand, Kris M. Kitani, James Andrew Bagnell
2015	J	`jnl`	Classification-Based Approximate Policy Iteration. IEEE Trans. Autom. Control. Amir-massoud Farahmand, Doina Precup, André da Motta Salles Barreto, Mohammad Ghavamzadeh
2015	J	`jnl`	Learning-Based Modular Indirect Adaptive Control for a Class of Nonlinear Systems. CoRR Mouhacine Benosman, Amir-massoud Farahmand, Meng Xia
2015	J	`jnl`	Reports of the AAAI 2014 Conference Workshops. AI Mag. Stefano V. Albrecht, André da Motta Salles Barreto, Darius Braziunas, David L. Buckeridge, Heriberto Cuayáhuitl, Nina Dethlefs, Markus Endres, Amir-massoud Farahmand, Mark Fox, Lutz Frommberger, Sam Ganzfried, Yolanda Gil, Sébastien Guillet, Lawrence E. Hunter, Arnav Jhala, Kristian Kersting, George Dimitri Konidaris, Freddy Lécué, Sheila A. McIlraith, Sriraam Natarajan, Zeinab Noorian, David Poole, Rémi Ronfard, Alessandro Saffiotti, Arash Shaban-Nejad, Biplav Srivastava, Gerald Tesauro, Rosario Uceda-Sosa, Guy Van den Broeck, Martijn van Otterlo, Byron C. Wallace, Paul Weng, Jenna Wiens, Jie Zhang
2014	J	`jnl`	Classification-based Approximate Policy Iteration: Experiments and Extended Discussions. CoRR Amir-massoud Farahmand, Doina Precup, André da Motta Salles Barreto, Mohammad Ghavamzadeh
2014	A*	`conf`	Sample-based approximate regularization. ICML Philip Bachman, Amir-massoud Farahmand, Doina Precup
2013	—	`conf`	Bellman Error Based Feature Generation using Random Projections on Sparse Spaces. NIPS Mahdi Milani Fard, Yuri Grinberg, Amir-massoud Farahmand, Joelle Pineau, Doina Precup
2013	—	`conf`	Learning from Limited Demonstrations. NIPS Beomjoon Kim, Amir-massoud Farahmand, Joelle Pineau, Doina Precup