Sökresultat - "Abdolmaleki, Abbas"

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

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

2024 IEEE International Conference on Robotics and Automation (ICRA)

Learning from negative feedback, or positive feedback or both

Abdolmaleki, Abbas, Piot, Bilal, Shahriari, Bobak, Springenberg, Jost Tobias, Hertweck, Tim, Joshi, Rishabh, Oh, Junhyuk, Bloesch, Michael, Lampe, Thomas, Heess, Nicolas, Buchli, Jonas, Riedmiller, Martin

Game On: Towards Language Models as RL Experimenters

Zhang, Jingwei, Lampe, Thomas, Abdolmaleki, Abbas, Springenberg, Jost Tobias, Riedmiller, Martin

Offline Actor-Critic Reinforcement Learning Scales to Large Models

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

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

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

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

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

2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

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

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

Policy composition in reinforcement learning via multi-objective policy optimization

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

RoboCat: A Self-Improving Generalist Agent for Robotic Manipulation

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

A nanocomposite based on carbon cloth fiber/polyaniline/graphene oxide: as a supercapacitor with special performance

Fallah, Dariush^{Aff1, IDs13738024030462_cor1}, Abdolmaleki, Abbas, Dehdashti, Mohammad Nabi, Zarei, Mohammad Ali, Oskueyan, Ghasem, Ahmadi, Babak

Leveraging Jumpy Models for Planning and Fast Learning in Robotic Domains

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

SkillS: Adaptive Skill Sequencing for Efficient Temporally-Extended Exploration

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

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

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

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

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

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

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

Evaluating model-based planning and planner amortization for continuous control

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

On Multi-objective Policy Optimization as a Tool for Reinforcement Learning: Case Studies in Offline RL and Finetuning

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

From Motor Control to Team Play in Simulated Humanoid Football

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

Decoupled Exploration and Exploitation Policies for Sample-Efficient Reinforcement Learning

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

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

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