Tuomas Haarnoja

According to our database, Tuomas Haarnoja authored at least 25 papers between 2011 and 2024.

Collaborative distances:

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

2024

Learning agile soccer skills for a bipedal robot with deep reinforcement learning.

Tuomas Haarnoja, Ben Moran, Guy Lever, Sandy H. Huang, Dhruva Tirumala, Jan Humplik, Markus Wulfmeier, Saran Tunyasuvunakool, Noah Y. Siegel, Roland Hafner, Michael Bloesch, Kristian Hartikainen, Arunkumar Byravan, Leonard Hasenclever, Yuval Tassa, Fereshteh Sadeghi, Nathan Batchelor, Federico Casarini, Stefano Saliceti, Charles Game, Neil Sreendra, Kushal Patel, Marlon Gwira, Andrea Huber, Nicole Hurley, Francesco Nori, Raia Hadsell, Nicolas Heess

Sci. Robotics, 2024

Learning Robot Soccer from Egocentric Vision with Deep Reinforcement Learning.

Dhruva Tirumala, Markus Wulfmeier, Ben Moran, Sandy H. Huang, Jan Humplik, Guy Lever, Tuomas Haarnoja, Leonard Hasenclever, Arunkumar Byravan, Nathan Batchelor, Neil Sreendra, Kushal Patel, Marlon Gwira, Francesco Nori, Martin A. Riedmiller, Nicolas Heess

CoRR, 2024

Replay across Experiments: A Natural Extension of Off-Policy RL.

Dhruva Tirumala, Thomas Lampe, José Enrique Chen, Tuomas Haarnoja, Sandy H. Huang, Guy Lever, Ben Moran, Tim Hertweck, Leonard Hasenclever, Martin A. Riedmiller, Nicolas Heess, Markus Wulfmeier

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

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

Trans. Mach. Learn. Res., 2023

NeRF2Real: Sim2real Transfer of Vision-guided Bipedal Motion Skills using Neural Radiance Fields.

Arunkumar Byravan, Jan Humplik, Leonard Hasenclever, Arthur Brussee, Francesco Nori, Tuomas Haarnoja, Ben Moran, Steven Bohez, Fereshteh Sadeghi, Bojan Vujatovic, Nicolas Heess

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022

Figure Data for the paper "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 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

Dataset, August, 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

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

Imitate and Repurpose: Learning Reusable Robot Movement Skills From Human and Animal Behaviors.

Steven Bohez, Saran Tunyasuvunakool, Philemon Brakel, Fereshteh Sadeghi, Leonard Hasenclever, Yuval Tassa, Emilio Parisotto, Jan Humplik, Tuomas Haarnoja, Roland Hafner, Markus Wulfmeier, Michael Neunert, Ben Moran, Noah Y. Siegel, Andrea Huber, Francesco Romano, Nathan Batchelor, Federico Casarini, Josh Merel, Raia Hadsell, Nicolas Heess

CoRR, 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

Towards Real Robot Learning in the Wild: A Case Study in Bipedal Locomotion.

Michael Bloesch, Jan Humplik, Viorica Patraucean, Roland Hafner, Tuomas Haarnoja, Arunkumar Byravan, Noah Yamamoto Siegel, Saran Tunyasuvunakool, Federico Casarini, Nathan Batchelor, Francesco Romano, Stefano Saliceti, Martin A. Riedmiller, S. M. Ali Eslami, Nicolas Heess

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

2020

Dynamical Distance Learning for Semi-Supervised and Unsupervised Skill Discovery.

Kristian Hartikainen, Xinyang Geng, Tuomas Haarnoja, Sergey Levine

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

2019

Dynamical Distance Learning for Unsupervised and Semi-Supervised Skill Discovery.

Kristian Hartikainen, Xinyang Geng, Tuomas Haarnoja, Sergey Levine

CoRR, 2019

Learning to Walk Via Deep Reinforcement Learning.

Tuomas Haarnoja, Sehoon Ha, Aurick Zhou, Jie Tan, George Tucker, Sergey Levine

Proceedings of the Robotics: Science and Systems XV, 2019

2018

Acquiring Diverse Robot Skills via Maximum Entropy Deep Reinforcement Learning.

Tuomas Haarnoja

PhD thesis, 2018

Soft Actor-Critic Algorithms and Applications.

Tuomas Haarnoja, Aurick Zhou, Kristian Hartikainen, George Tucker, Sehoon Ha, Jie Tan, Vikash Kumar, Henry Zhu, Abhishek Gupta, Pieter Abbeel, Sergey Levine

CoRR, 2018

Composable Deep Reinforcement Learning for Robotic Manipulation.

Tuomas Haarnoja, Vitchyr Pong, Aurick Zhou, Murtaza Dalal, Pieter Abbeel, Sergey Levine

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

Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor.

Tuomas Haarnoja, Aurick Zhou, Pieter Abbeel, Sergey Levine

Proceedings of the 35th International Conference on Machine Learning, 2018

Latent Space Policies for Hierarchical Reinforcement Learning.

Tuomas Haarnoja, Kristian Hartikainen, Pieter Abbeel, Sergey Levine

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

Reinforcement Learning with Deep Energy-Based Policies.

Tuomas Haarnoja, Haoran Tang, Pieter Abbeel, Sergey Levine

Proceedings of the 34th International Conference on Machine Learning, 2017

2016

Backprop KF: Learning Discriminative Deterministic State Estimators.

Tuomas Haarnoja, Anurag Ajay, Sergey Levine, Pieter Abbeel

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2014

Exact LTP Representation of the Generalized Periodic-Reference FxLMS Algorithm.

Tuomas Haarnoja, Kari Tammi, Kai Zenger

IEEE Trans. Signal Process., 2014

2012

An estimator for the eigenvalues of the system matrix of a periodic-reference LMS algorithm.

Tuomas Haarnoja, Kari Tammi, Kai Zenger

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011

Model-based velocity control for Limit Cycle Walking.

Tuomas Haarnoja, Jose-Luis Peralta-Cabezas, Aarne Halme

Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011

Assessment of limit-cycle-based control on 2D kneed biped.

Jose-Luis Peralta-Cabezas, Tuomas Haarnoja, Tomi Ylikorpi, Aarne Halme

Proceedings of the IEEE International Conference on Robotics and Automation, 2011