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Rasool Fakoor — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Rasool Fakoor
19
papers ·
46
citations ·
7
h-index
Google Scholar ↗
Semantic Scholar ↗
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Most-cited papers
Meta-Q-Learning
2019 · 14 citations
Continuous Doubly Constrained Batch Reinforcement Learning
2021 · 6 citations
P3O: Policy-on Policy-off Policy Optimization
2019 · 4 citations
DDPG++: Striving for Simplicity in Continuous-control Off-Policy Reinforcement Learning
2020 · 3 citations
Resetting the Optimizer in Deep RL: An Empirical Study
2023 · 3 citations
Reinforcement Learning To Adapt Speech Enhancement to Instantaneous Input Signal Quality
2017 · 2 citations
Task-Agnostic Continual Reinforcement Learning: Gaining Insights and Overcoming Challenges
2022 · 2 citations
Faster Deep Reinforcement Learning with Slower Online Network
2021 · 1 citations
Budgeting Counterfactual for Offline RL
2023 · 1 citations
Trust the Batch, On- or Off-Policy: Adaptive Policy Optimization for RL Post-Training
2026
Learning the Target Network in Function Space
2024
EXTRACT: Efficient Policy Learning by Extracting Transferable Robot Skills from Offline Data
2024
AlphaRouter: Quantum Circuit Routing with Reinforcement Learning and Tree Search
2024
Top co-authors
Alexander J. Smola
· 5
Pratik Chaudhari
· 5
Kavosh Asadi
· 4
Jonas Mueller
· 2
Shoham Sabach
· 2
Taesup Kim
· 2
Alexander J. Smola
· 1
Erdem Biyik
· 1
Eric Kessler
· 1
Ivan Tashev
· 1
Jesse Zhang
· 1
Joseph J Lim
· 1
Topics
Offline RL
Value-Based
Policy Gradient
Meta-RL
Game AI
Model-Based RL
Safe RL
Exploration