Tuomas Haarnoja

Research Scientist, DeepMind

Joined

October 2017

Names

Tuomas Haarnoja

Emails

****@berkeley.edu (Confirmed)

****@gmail.com (Confirmed)

****@google.com (Confirmed)

Personal Links

Google Scholar

DBLP

Career & Education History

Research Scientist

DeepMind (deepmind.com)

2019 – Present

PhD student

University of California Berkeley (berkeley.edu)

2012 – 2018

MS student

Aalto University (aalto.fi)

2004 – 2010

Advisors, Relations & Conflicts

PhD Advisor

Pieter Abbeel

2015 – Present

PhD Advisor

Sergey Levine

2015 – Present

Expertise

robotics

deep reinforcement learning

machine learning

artificial intelligence

2015 – Present

Publications

Learning Robot Soccer from Egocentric Vision with Deep Reinforcement Learning
Dhruva Tirumala, Markus Wulfmeier, Ben Moran, Sandy Huang, Jan Humplik, Guy Lever, Tuomas Haarnoja, Leonard Hasenclever, Arunkumar Byravan, Nathan Batchelor, Neil sreendra, Kushal Patel, Marlon Gwira, Francesco Nori, Martin Riedmiller, Nicolas Heess
- CoRL 2024
- Readers: Everyone
Replay across Experiments: A Natural Extension of Off-Policy RL
Dhruva Tirumala, Thomas Lampe, Jose Enrique Chen, Tuomas Haarnoja, Sandy Huang, Guy Lever, Ben Moran, Tim Hertweck, Leonard Hasenclever, Martin Riedmiller, Nicolas Heess, Markus Wulfmeier
- ICLR 2024 poster
- Readers: Everyone
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 Riedmiller
- Accepted by TMLR
- Readers: Everyone
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 Riedmiller
- Published: 01 Feb 2023, Last Modified: 13 Feb 2023
- Submitted to ICLR 2023
- Readers: Everyone
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 Riedmiller, S. M. Ali Eslami, Nicolas Heess
- Published: 13 Sept 2021, Last Modified: 05 May 2023
- CoRL2021 Poster
- Readers: Everyone
Latent Space Policies for Hierarchical Reinforcement Learning
Tuomas Haarnoja, Kristian Hartikainen, Pieter Abbeel, Sergey Levine
- 2018 (modified: 11 Nov 2022)
- ICML 2018
- Readers: Everyone
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor
Tuomas Haarnoja, Aurick Zhou, Pieter Abbeel, Sergey Levine
- 2018 (modified: 11 Nov 2022)
- ICML 2018
- Readers: Everyone
Reinforcement Learning with Deep Energy-Based Policies
Tuomas Haarnoja, Haoran Tang, Pieter Abbeel, Sergey Levine
- 2017 (modified: 11 Nov 2022)
- ICML 2017
- Readers: Everyone
Backprop KF: Learning Discriminative Deterministic State Estimators
Tuomas Haarnoja, Anurag Ajay, Sergey Levine, Pieter Abbeel
- 2016 (modified: 11 Nov 2022)
- NIPS 2016
- Readers: Everyone

Co-Authors

View all 39 co-authors