Amir-massoud Farahmand

28 papers · 2010–2025 · 8 conferences · across top CS/AI conferences

Achievements

+12 more ↓

🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🗺️ Taxonomy Completionist (12) 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (8)

🌈 Renaissance Researcher (8) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🐺 Lone Wolf (3) 🌱 Topic Pioneer 🧬 Topic Evolution 🏆 Keyword Champion (3) 🗃️ Keyword Collector (87) 📈 Trend Setter 💎 Century Club (28) 🔥 Unstoppable (10) ⚡ Prolific Year (5)

Conferences

NIPS (10) ICLR (7) ICML (6) AISTATS (1) ECCV (1) IJCAI (1) JMLR (1) UAI (1)

Top co-authors

Yangchen Pan (7) Mohammad Ghavamzadeh (4) Martha White (4) Daniel Nikovski (3) Doina Precup (3) Claas A Voelcker (3) Murat A Erdogdu (2) Avery Ma (2) Igor Gilitschenski (2) Hengshuai Yao (2)

Research topics

Robotics (1)

Keywords

value iteration (6) reinforcement learning (6) model-based reinforcement learning (4) value function (3) policy iteration (3) markov decision process (2) distributional reinforcement learning (2) sample efficiency (2) random projection (2) approximate value iteration (2) dynamical system (2) approximate dynamic programming (2) dynamic programming (2) bellman error (2) convergence rate (2) natural gradient (1) robotic navigation (1) autonomous driving (1) imitation learning (1) function approximation (1)

Papers

Calibrated Value-Aware Model Learning with Probabilistic Environment Models ICML 2025 Categorical Distributional Reinforcement Learning with Kullback-Leibler Divergence: Convergence and Asymptotics ICML 2025 A Truncated Newton Method for Optimal Transport ICLR 2025 MAD-TD: Model-Augmented Data stabilizes High Update Ratio RL ICLR 2025 PANDAS: Improving Many-shot Jailbreaking via Positive Affirmation, Negative Demonstration, and Adaptive Sampling ICML 2025 Maximum Entropy Model Correction in Reinforcement Learning ICLR 2024 Improving Adversarial Transferability via Model Alignment ECCV 2024 Distributional Model Equivalence for Risk-Sensitive Reinforcement Learning NIPS 2023 Understanding and mitigating the limitations of prioritized experience replay UAI 2022 Operator Splitting Value Iteration NIPS 2022 Learning Object-Oriented Dynamics for Planning from Text ICLR 2022 Value Gradient weighted Model-Based Reinforcement Learning ICLR 2022 PID Accelerated Value Iteration Algorithm ICML 2021 Frequency-based Search-control in Dyna ICLR 2020 An implicit function learning approach for parametric modal regression NIPS 2020 Dimensionality Reduction for Representing the Knowledge of Probabilistic Models ICLR 2019 Value Function in Frequency Domain and the Characteristic Value Iteration Algorithm NIPS 2019 Hill Climbing on Value Estimates for Search-control in Dyna IJCAI 2019 Reinforcement Learning with Function-Valued Action Spaces for Partial Differential Equation Control ICML 2018 Iterative Value-Aware Model Learning NIPS 2018 Random Projection Filter Bank for Time Series Data NIPS 2017 Value-Aware Loss Function for Model-based Reinforcement Learning AISTATS 2017 Regularized Policy Iteration with Nonparametric Function Spaces JMLR 2016 Sample-based approximate regularization ICML 2014 Learning from Limited Demonstrations NIPS 2013 Bellman Error Based Feature Generation using Random Projections on Sparse Spaces NIPS 2013 Action-Gap Phenomenon in Reinforcement Learning NIPS 2011 Error Propagation for Approximate Policy and Value Iteration NIPS 2010