← Authors

Amir-massoud Farahmand

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

Achievements

🐝 Cross-Pollinator (10) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (8) πŸƒ Academic Marathon (15) πŸ—ΊοΈ Taxonomy Completionist (12) 🌈 Renaissance Researcher (8) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🐺 Lone Wolf (3) 🌱 Topic Pioneer 🧬 Topic Evolution πŸ† Keyword Champion (3) πŸ—ƒοΈ Keyword Collector (87) πŸ“ˆ Trend Setter πŸ’Ž Century Club (28) πŸ”₯ 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