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Abbas Abdolmaleki — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Abbas Abdolmaleki
30
papers ·
1026
citations ·
19
h-index
Google DeepMind (United Kingdom) · Google (United Kingdom)
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
DeepMind Control Suite
2018 · 524 citations
Maximum a Posteriori Policy Optimisation
2018 · 167 citations
Keep Doing What Worked: Behavioral Modelling Priors for Offline Reinforcement Learning
2020 · 48 citations
Relative Entropy Regularized Policy Iteration
2018 · 45 citations
V-MPO: On-Policy Maximum a Posteriori Policy Optimization for Discrete and Continuous Control
2019 · 39 citations
Robust Reinforcement Learning for Continuous Control with Model Misspecification
2019 · 38 citations
Continuous-Discrete Reinforcement Learning for Hybrid Control in Robotics
2020 · 27 citations
A Distributional View on Multi-Objective Policy Optimization
2020 · 23 citations
Model-Free Trajectory-based Policy Optimization with Monotonic Improvement
2016 · 19 citations
Modelling Generalized Forces with Reinforcement Learning for Sim-to-Real Transfer
2019 · 16 citations
How to Spend Your Robot Time: Bridging Kickstarting and Offline Reinforcement Learning for Vision-based Robotic Manipulation
2022 · 9 citations
Local Search for Policy Iteration in Continuous Control
2020 · 8 citations
Imagined Value Gradients: Model-Based Policy Optimization with Transferable Latent Dynamics Models
2019 · 6 citations
Quinoa: a Q-function You Infer Normalized Over Actions
2019 · 4 citations
Decoupled Exploration and Exploitation Policies for Sample-Efficient Reinforcement Learning
2021 · 3 citations
Top co-authors
Martin Riedmiller
· 22
Jost Tobias Springenberg
· 17
Nicolas Heess
· 16
Thomas Lampe
· 10
Michael Neunert
· 7
Roland Hafner
· 7
Arunkumar Byravan
· 6
Yuval Tassa
· 5
Markus Wulfmeier
· 4
Dan Belov
· 3
Jackie Kay
· 3
Jonas Buchli
· 3
Topics
Policy Gradient
Model-Based RL
Value-Based
Offline RL
Meta-RL
Exploration
Safe RL
Multi-Agent
Game AI