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Mohammad Ghavamzadeh — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Mohammad Ghavamzadeh
38
papers ·
685
citations ·
43
h-index
Amazon (Germany)
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Benchmarking Batch Deep Reinforcement Learning Algorithms
2019 · 160 citations
Lyapunov-based Safe Policy Optimization for Continuous Control
2019 · 154 citations
A Lyapunov-based Approach to Safe Reinforcement Learning
2018 · 78 citations
Safe Policy Improvement by Minimizing Robust Baseline Regret
2016 · 68 citations
Bayesian policy gradient and actor-critic algorithms
2026 · 34 citations
Mirror Descent Policy Optimization
2020 · 24 citations
Maximum Entropy Semi-Supervised Inverse Reinforcement Learning
2026 · 20 citations
DPOK: Reinforcement Learning for Fine-tuning Text-to-Image Diffusion Models
2023 · 17 citations
Robust Reinforcement Learning using Offline Data
2022 · 15 citations
Tight Regret Bounds for Model-Based Reinforcement Learning with Greedy Policies
2019 · 12 citations
Bayesian Reinforcement Learning: A Survey
2016 · 10 citations
Conservative Exploration in Reinforcement Learning
2020 · 8 citations
Control-Aware Representations for Model-based Reinforcement Learning
2020 · 8 citations
Policy-Aware Model Learning for Policy Gradient Methods
2020 · 7 citations
Proximal Gradient Temporal Difference Learning: Stable Reinforcement Learning with Polynomial Sample Complexity
2020 · 5 citations
Top co-authors
Marek Petrik
· 6
Yinlam Chow
· 6
Alessandro Lazaric
· 3
Amir-massoud Farahmand
· 3
Shie Mannor
· 3
Yonathan Efroni
· 3
Amin Rakhsha
· 2
Craig Boutilier
· 2
Dileep Kalathil
· 2
Edgar A. Duéñez‐Guzmán
· 2
Erick Delage
· 2
Jia Lin Hau
· 2
Topics
Model-Based RL
Policy Gradient
Value-Based
Safe RL
Offline RL
Exploration
Meta-RL
Game AI
Multi-Agent
RLHF & Alignment