Abbas Abdolmaleki

According to our database, Abbas Abdolmaleki authored at least 63 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Real-World Fluid Directed Rigid Body Control via Deep Reinforcement Learning.

Mohak Bhardwaj, Thomas Lampe, Michael Neunert, Francesco Romano, Abbas Abdolmaleki, Arunkumar Byravan, Markus Wulfmeier, Martin A. Riedmiller, Jonas Buchli

CoRR, 2024

Offline Actor-Critic Reinforcement Learning Scales to Large Models.

Jost Tobias Springenberg, Abbas Abdolmaleki, Jingwei Zhang, Oliver Groth, Michael Bloesch, Thomas Lampe, Philemon Brakel, Sarah Bechtle, Steven Kapturowski, Roland Hafner, Nicolas Heess, Martin A. Riedmiller

CoRR, 2024

2023

Mastering Stacking of Diverse Shapes with Large-Scale Iterative Reinforcement Learning on Real Robots.

Thomas Lampe, Abbas Abdolmaleki, Sarah Bechtle, Sandy H. Huang, Jost Tobias Springenberg, Michael Bloesch, Oliver Groth, Roland Hafner, Tim Hertweck, Michael Neunert, Markus Wulfmeier, Jingwei Zhang, Francesco Nori, Nicolas Heess, Martin A. Riedmiller

CoRR, 2023

Policy composition in reinforcement learning via multi-objective policy optimization.

Shruti Mishra, Ankit Anand, Jordan Hoffmann, Nicolas Heess, Martin A. Riedmiller, Abbas Abdolmaleki, Doina Precup

CoRR, 2023

RoboCat: A Self-Improving Foundation Agent for Robotic Manipulation.

Konstantinos Bousmalis, Giulia Vezzani, Dushyant Rao, Coline Devin, Alex X. Lee, Maria Bauzá, Todor Davchev, Yuxiang Zhou, Agrim Gupta, Akhil Raju, Antoine Laurens, Claudio Fantacci, Valentin Dalibard, Martina Zambelli, Murilo F. Martins, Rugile Pevceviciute, Michiel Blokzijl, Misha Denil, Nathan Batchelor, Thomas Lampe, Emilio Parisotto, Konrad Zolna, Scott E. Reed, Sergio Gómez Colmenarejo, Jon Scholz, Abbas Abdolmaleki, Oliver Groth, Jean-Baptiste Regli, Oleg Sushkov, Thomas Rothörl, Jose Enrique Chen, Yusuf Aytar, Dave Barker, Joy Ortiz, Martin A. Riedmiller, Jost Tobias Springenberg, Raia Hadsell, Francesco Nori, Nicolas Heess

CoRR, 2023

Leveraging Jumpy Models for Planning and Fast Learning in Robotic Domains.

Jingwei Zhang, Jost Tobias Springenberg, Arunkumar Byravan, Leonard Hasenclever, Abbas Abdolmaleki, Dushyant Rao, Nicolas Heess, Martin A. Riedmiller

CoRR, 2023

2022

From motor control to team play in simulated humanoid football.

Siqi Liu, Guy Lever, Zhe Wang, Josh Merel, S. M. Ali Eslami, Daniel Hennes, Wojciech M. Czarnecki, Yuval Tassa, Shayegan Omidshafiei, Abbas Abdolmaleki, Noah Y. Siegel, Leonard Hasenclever, Luke Marris, Saran Tunyasuvunakool, H. Francis Song, Markus Wulfmeier, Paul Muller, Tuomas Haarnoja, Brendan D. Tracey, Karl Tuyls, Thore Graepel, Nicolas Heess

Sci. Robotics, 2022

Magnetic control of tokamak plasmas through deep reinforcement learning.

Jonas Degrave, Federico Felici, Jonas Buchli, Michael Neunert, Brendan D. Tracey, Francesco Carpanese, Timo Ewalds, Roland Hafner, Abbas Abdolmaleki, Diego de Las Casas, Craig Donner, Leslie Fritz, Cristian Galperti, Andrea Huber, James Keeling, Maria Tsimpoukelli, Jackie Kay, Antoine Merle, Jean-Marc Moret, Seb Noury, Federico Pesamosca, David Pfau, Olivier Sauter, Cristian Sommariva, Stefano Coda, Basil Duval, Ambrogio Fasoli, Pushmeet Kohli, Koray Kavukcuoglu, Demis Hassabis, Martin A. Riedmiller

Nat., 2022

SkillS: Adaptive Skill Sequencing for Efficient Temporally-Extended Exploration.

Giulia Vezzani, Dhruva Tirumala, Markus Wulfmeier, Dushyant Rao, Abbas Abdolmaleki, Ben Moran, Tuomas Haarnoja, Jan Humplik, Roland Hafner, Michael Neunert, Claudio Fantacci, Tim Hertweck, Thomas Lampe, Fereshteh Sadeghi, Nicolas Heess, Martin A. Riedmiller

CoRR, 2022

Revisiting Gaussian mixture critics in off-policy reinforcement learning: a sample-based approach.

Bobak Shahriari, Abbas Abdolmaleki, Arunkumar Byravan, Abe Friesen, Siqi Liu, Jost Tobias Springenberg, Nicolas Heess, Matt Hoffman, Martin A. Riedmiller

CoRR, 2022

Offline Distillation for Robot Lifelong Learning with Imbalanced Experience.

Wenxuan Zhou, Steven Bohez, Jan Humplik, Abbas Abdolmaleki, Dushyant Rao, Markus Wulfmeier, Tuomas Haarnoja, Nicolas Heess

CoRR, 2022

How to Spend Your Robot Time: Bridging Kickstarting and Offline Reinforcement Learning for Vision-based Robotic Manipulation.

Alex X. Lee, Coline Devin, Jost Tobias Springenberg, Yuxiang Zhou, Thomas Lampe, Abbas Abdolmaleki, Konstantinos Bousmalis

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Evaluating Model-Based Planning and Planner Amortization for Continuous Control.

Arunkumar Byravan, Leonard Hasenclever, Piotr Trochim, Mehdi Mirza, Alessandro Davide Ialongo, Yuval Tassa, Jost Tobias Springenberg, Abbas Abdolmaleki, Nicolas Heess, Josh Merel, Martin A. Riedmiller

Proceedings of the Tenth International Conference on Learning Representations, 2022

Forgetting and Imbalance in Robot Lifelong Learning with Off-policy Data.

Wenxuan Zhou, Steven Bohez, Jan Humplik, Nicolas Heess, Abbas Abdolmaleki, Dushyant Rao, Markus Wulfmeier, Tuomas Haarnoja

Proceedings of the Conference on Lifelong Learning Agents, 2022

2021

On Multi-objective Policy Optimization as a Tool for Reinforcement Learning.

Abbas Abdolmaleki, Sandy H. Huang, Giulia Vezzani, Bobak Shahriari, Jost Tobias Springenberg, Shruti Mishra, Dhruva TB, Arunkumar Byravan, Konstantinos Bousmalis, András György, Csaba Szepesvári, Raia Hadsell, Nicolas Heess, Martin A. Riedmiller

CoRR, 2021

Rethinking Exploration for Sample-Efficient Policy Learning.

William F. Whitney, Michael Bloesch, Jost Tobias Springenberg, Abbas Abdolmaleki, Martin A. Riedmiller

CoRR, 2021

Data-efficient Hindsight Off-policy Option Learning.

Markus Wulfmeier, Dushyant Rao, Roland Hafner, Thomas Lampe, Abbas Abdolmaleki, Tim Hertweck, Michael Neunert, Dhruva Tirumala, Noah Y. Siegel, Nicolas Heess, Martin A. Riedmiller

Proceedings of the 38th International Conference on Machine Learning, 2021

Beyond Pick-and-Place: Tackling Robotic Stacking of Diverse Shapes.

Alex X. Lee, Coline Manon Devin, Yuxiang Zhou, Thomas Lampe, Konstantinos Bousmalis, Jost Tobias Springenberg, Arunkumar Byravan, Abbas Abdolmaleki, Nimrod Gileadi, David Khosid, Claudio Fantacci, Jose Enrique Chen, Akhil Raju, Rae Jeong, Michael Neunert, Antoine Laurens, Stefano Saliceti, Federico Casarini, Martin A. Riedmiller, Raia Hadsell, Francesco Nori

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

A Constrained Multi-Objective Reinforcement Learning Framework.

Sandy H. Huang, Abbas Abdolmaleki, Giulia Vezzani, Philemon Brakel, Daniel J. Mankowitz, Michael Neunert, Steven Bohez, Yuval Tassa, Nicolas Heess, Martin A. Riedmiller, Raia Hadsell

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020

"What, not how": Solving an under-actuated insertion task from scratch.

Giulia Vezzani, Michael Neunert, Markus Wulfmeier, Rae Jeong, Thomas Lampe, Noah Y. Siegel, Roland Hafner, Abbas Abdolmaleki, Martin A. Riedmiller, Francesco Nori

CoRR, 2020

Local Search for Policy Iteration in Continuous Control.

Jost Tobias Springenberg, Nicolas Heess, Daniel J. Mankowitz, Josh Merel, Arunkumar Byravan, Abbas Abdolmaleki, Jackie Kay, Jonas Degrave, Julian Schrittwieser, Yuval Tassa, Jonas Buchli, Dan Belov, Martin A. Riedmiller

CoRR, 2020

Acme: A Research Framework for Distributed Reinforcement Learning.

Matt Hoffman, Bobak Shahriari, John Aslanides, Gabriel Barth-Maron, Feryal M. P. Behbahani, Tamara Norman, Abbas Abdolmaleki, Albin Cassirer, Fan Yang, Kate Baumli, Sarah Henderson, Alexander Novikov, Sergio Gómez Colmenarejo, Serkan Cabi, Çaglar Gülçehre, Tom Le Paine, Andrew Cowie, Ziyu Wang, Bilal Piot, Nando de Freitas

CoRR, 2020

Keep Doing What Worked: Behavioral Modelling Priors for Offline Reinforcement Learning.

Noah Y. Siegel, Jost Tobias Springenberg, Felix Berkenkamp, Abbas Abdolmaleki, Michael Neunert, Thomas Lampe, Roland Hafner, Nicolas Heess, Martin A. Riedmiller

CoRR, 2020

Compositional Transfer in Hierarchical Reinforcement Learning.

Markus Wulfmeier, Abbas Abdolmaleki, Roland Hafner, Jost Tobias Springenberg, Michael Neunert, Noah Y. Siegel, Tim Hertweck, Thomas Lampe, Nicolas Heess, Martin A. Riedmiller

Proceedings of the Robotics: Science and Systems XVI, 2020

A distributional view on multi-objective policy optimization.

Abbas Abdolmaleki, Sandy H. Huang, Leonard Hasenclever, Michael Neunert, H. Francis Song, Martina Zambelli, Murilo F. Martins, Nicolas Heess, Raia Hadsell, Martin A. Riedmiller

Proceedings of the 37th International Conference on Machine Learning, 2020

V-MPO: On-Policy Maximum a Posteriori Policy Optimization for Discrete and Continuous Control.

H. Francis Song, Abbas Abdolmaleki, Jost Tobias Springenberg, Aidan Clark, Hubert Soyer, Jack W. Rae, Seb Noury, Arun Ahuja, Siqi Liu, Dhruva Tirumala, Nicolas Heess, Dan Belov, Martin A. Riedmiller, Matthew M. Botvinick

Proceedings of the 8th International Conference on Learning Representations, 2020

Keep Doing What Worked: Behavior Modelling Priors for Offline Reinforcement Learning.

Noah Y. Siegel, Jost Tobias Springenberg, Felix Berkenkamp, Abbas Abdolmaleki, Michael Neunert, Thomas Lampe, Roland Hafner, Nicolas Heess, Martin A. Riedmiller

Proceedings of the 8th International Conference on Learning Representations, 2020

Robust Reinforcement Learning for Continuous Control with Model Misspecification.

Daniel J. Mankowitz, Nir Levine, Rae Jeong, Abbas Abdolmaleki, Jost Tobias Springenberg, Yuanyuan Shi, Jackie Kay, Todd Hester, Timothy A. Mann, Martin A. Riedmiller

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Contextual Direct Policy Search - With Regularized Covariance Matrix Estimation.

Abbas Abdolmaleki, David Simões, Nuno Lau, Luís Paulo Reis, Gerhard Neumann

J. Intell. Robotic Syst., 2019

Quinoa: a Q-function You Infer Normalized Over Actions.

Jonas Degrave, Abbas Abdolmaleki, Jost Tobias Springenberg, Nicolas Heess, Martin A. Riedmiller

CoRR, 2019

Modelling Generalized Forces with Reinforcement Learning for Sim-to-Real Transfer.

Rae Jeong, Jackie Kay, Francesco Romano, Thomas Lampe, Thomas Rothörl, Abbas Abdolmaleki, Tom Erez, Yuval Tassa, Francesco Nori

CoRR, 2019

Imagined Value Gradients: Model-Based Policy Optimization with Transferable Latent Dynamics Models.

Arunkumar Byravan, Jost Tobias Springenberg, Abbas Abdolmaleki, Roland Hafner, Michael Neunert, Thomas Lampe, Noah Y. Siegel, Nicolas Heess, Martin A. Riedmiller

CoRR, 2019

Augmenting learning using symmetry in a biologically-inspired domain.

Shruti Mishra, Abbas Abdolmaleki, Arthur Guez, Piotr Trochim, Doina Precup

CoRR, 2019

Regularized Hierarchical Policies for Compositional Transfer in Robotics.

Markus Wulfmeier, Abbas Abdolmaleki, Roland Hafner, Jost Tobias Springenberg, Michael Neunert, Tim Hertweck, Thomas Lampe, Noah Y. Siegel, Nicolas Heess, Martin A. Riedmiller

CoRR, 2019

Robust Reinforcement Learning for Continuous Control with Model Misspecification.

Daniel J. Mankowitz, Nir Levine, Rae Jeong, Abbas Abdolmaleki, Jost Tobias Springenberg, Timothy A. Mann, Todd Hester, Martin A. Riedmiller

CoRR, 2019

Value constrained model-free continuous control.

Steven Bohez, Abbas Abdolmaleki, Michael Neunert, Jonas Buchli, Nicolas Heess, Raia Hadsell

CoRR, 2019

Simultaneously Learning Vision and Feature-Based Control Policies for Real-World Ball-In-A-Cup.

Devin Schwab, Jost Tobias Springenberg, Murilo Fernandes Martins, Michael Neunert, Thomas Lampe, Abbas Abdolmaleki, Tim Hertweck, Roland Hafner, Francesco Nori, Martin A. Riedmiller

Proceedings of the Robotics: Science and Systems XV, 2019

Continuous-Discrete Reinforcement Learning for Hybrid Control in Robotics.

Michael Neunert, Abbas Abdolmaleki, Markus Wulfmeier, Thomas Lampe, Jost Tobias Springenberg, Roland Hafner, Francesco Romano, Jonas Buchli, Nicolas Heess, Martin A. Riedmiller

Proceedings of the 3rd Annual Conference on Robot Learning, 2019

Imagined Value Gradients: Model-Based Policy Optimization with Tranferable Latent Dynamics Models.

Arunkumar Byravan, Jost Tobias Springenberg, Abbas Abdolmaleki, Roland Hafner, Michael Neunert, Thomas Lampe, Noah Y. Siegel, Nicolas Heess, Martin A. Riedmiller

Proceedings of the 3rd Annual Conference on Robot Learning, 2019

2018

Information theoretic stochastic search

Abbas Abdolmaleki

PhD thesis, 2018

Model-Free Trajectory-based Policy Optimization with Monotonic Improvement.

Riad Akrour, Abbas Abdolmaleki, Hany Abdulsamad, Jan Peters, Gerhard Neumann

J. Mach. Learn. Res., 2018

Relative Entropy Regularized Policy Iteration.

Abbas Abdolmaleki, Jost Tobias Springenberg, Jonas Degrave, Steven Bohez, Yuval Tassa, Dan Belov, Nicolas Heess, Martin A. Riedmiller

CoRR, 2018

DeepMind Control Suite.

Yuval Tassa, Yotam Doron, Alistair Muldal, Tom Erez, Yazhe Li, Diego de Las Casas, David Budden, Abbas Abdolmaleki, Josh Merel, Andrew Lefrancq, Timothy P. Lillicrap, Martin A. Riedmiller

CoRR, 2018

Eager and Memory-Based Non-Parametric Stochastic Search Methods for Learning Control.

Victor Barbaros, Herke van Hoof, Abbas Abdolmaleki, David Meger

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Guide Actor-Critic for Continuous Control.

Voot Tangkaratt, Abbas Abdolmaleki, Masashi Sugiyama

Proceedings of the 6th International Conference on Learning Representations, 2018

Maximum a Posteriori Policy Optimisation.

Abbas Abdolmaleki, Jost Tobias Springenberg, Yuval Tassa, Rémi Munos, Nicolas Heess, Martin A. Riedmiller

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

Contextual Covariance Matrix Adaptation Evolutionary Strategies.

Abbas Abdolmaleki, Bob Price, Nuno Lau, Luís Paulo Reis, Gerhard Neumann

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Deriving and improving CMA-ES with information geometric trust regions.

Abbas Abdolmaleki, Bob Price, Nuno Lau, Luís Paulo Reis, Gerhard Neumann

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Stochastic Search In Changing Situations.

Abbas Abdolmaleki, David Simões, Nuno Lau, Luís Paulo Reis, Bob Price, Gerhard Neumann

Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Contextual Policy Search for Linear and Nonlinear Generalization of a Humanoid Walking Controller.

Abbas Abdolmaleki, Nuno Lau, Luís Paulo Reis, Jan Peters, Gerhard Neumann

J. Intell. Robotic Syst., 2016

Learning a Humanoid Kick with Controlled Distance.

Abbas Abdolmaleki, David Simões, Nuno Lau, Luís Paulo Reis, Gerhard Neumann

Proceedings of the RoboCup 2016: Robot World Cup XX [Leipzig, Germany, June 30, 2016

Non-parametric contextual stochastic search.

Abbas Abdolmaleki, Nuno Lau, Luís Paulo Reis, Gerhard Neumann

Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Model-Free Trajectory Optimization for Reinforcement Learning.

Riad Akrour, Gerhard Neumann, Hany Abdulsamad, Abbas Abdolmaleki

Proceedings of the 33nd International Conference on Machine Learning, 2016

Contextual Relative Entropy Policy Search with Covariance Matrix Adaptation.

Abbas Abdolmaleki, David Simões, Nuno Lau, Luís Paulo Reis, Gerhard Neumann

Proceedings of the 2016 International Conference on Autonomous Robot Systems and Competitions, 2016

Contextual Stochastic Search.

Abbas Abdolmaleki, Nuno Lau, Luís Paulo Reis, Gerhard Neumann

Proceedings of the Genetic and Evolutionary Computation Conference, 2016

Model-Based Relative Entropy Stochastic Search.

Abbas Abdolmaleki, Rudolf Lioutikov, Nuno Lau, Luís Paulo Reis, Jan Peters, Gerhard Neumann

Proceedings of the Genetic and Evolutionary Computation Conference, 2016

2015

Contextual Policy Search for Generalizing a Parameterized Biped Walking Controller.

Abbas Abdolmaleki, Nuno Lau, Luís Paulo Reis, Jan Peters, Gerhard Neumann

Proceedings of the 2015 IEEE International Conference on Autonomous Robot Systems and Competitions, 2015

Regularized covariance estimation for weighted maximum likelihood policy search methods.

Abbas Abdolmaleki, Nuno Lau, Luís Paulo Reis, Gerhard Neumann

Proceedings of the 15th IEEE-RAS International Conference on Humanoid Robots, 2015

2014

Omnidirectional Walking with a Compliant Inverted Pendulum Model.

Abbas Abdolmaleki, Nima Shafii, Luís Paulo Reis, Nuno Lau, Jan Peters, Gerhard Neumann

Proceedings of the Advances in Artificial Intelligence - IBERAMIA 2014, 2014

2013

Omnidirectional Walking and Active Balance for Soccer Humanoid Robot.

Nima Shafii, Abbas Abdolmaleki, Rui Ferreira, Nuno Lau, Luís Paulo Reis

Proceedings of the Progress in Artificial Intelligence, 2013

2012

A Model for Context Aware Mobile Payment.

Leila Abedi, Mohammad Ali Nematbakhsh, Abbas Abdolmaleki

J. Theor. Appl. Electron. Commer. Res., 2012

A Distributed Cooperative Reinforcement Learning Method for Decision Making in Fire Brigade Teams.

Abbas Abdolmaleki, Mostafa Movahedi, Nuno Lau, Luís Paulo Reis

Proceedings of the RoboCup 2012: Robot Soccer World Cup XVI [papers from the 16th Annual RoboCup International Symposium, 2012

2011

A Reinforcement Learning Based Method for Optimizing the Process of Decision Making in Fire Brigade Agents.

Abbas Abdolmaleki, Mostafa Movahedi, Sajjad Salehi, Nuno Lau, Luís Paulo Reis

Proceedings of the Progress in Artificial Intelligence, 2011