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ORCIDKristian Hartikainen
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Journal Articles
- 2024
[j1]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:
Learning agile soccer skills for a bipedal robot with deep reinforcement learning. Sci. Robotics 9(89) (2024)
Conference and Workshop Papers
- 2023
- [c8]Sasha Salter, Kristian Hartikainen, Walter Goodwin, Ingmar Posner:
Priors, Hierarchy, and Information Asymmetry for Skill Transfer in Reinforcement Learning. ICLR 2023 - 2022
- [c7]Matthew J. A. Smith, Jelena Luketina, Kristian Hartikainen, Maximilian Igl, Shimon Whiteson:
Learning Skills Diverse in Value-Relevant Features. CoLLAs 2022: 1174-1194 - 2021
- [c6]Luisa M. Zintgraf, Leo Feng, Cong Lu, Maximilian Igl, Kristian Hartikainen, Katja Hofmann, Shimon Whiteson:
Exploration in Approximate Hyper-State Space for Meta Reinforcement Learning. ICML 2021: 12991-13001 - [c5]Mattie Fellows, Kristian Hartikainen, Shimon Whiteson:
Bayesian Bellman Operators. NeurIPS 2021: 13641-13656 - 2020
- [c4]Kristian Hartikainen, Xinyang Geng, Tuomas Haarnoja, Sergey Levine:
Dynamical Distance Learning for Semi-Supervised and Unsupervised Skill Discovery. ICLR 2020 - [c3]Henry Zhu, Justin Yu, Abhishek Gupta, Dhruv Shah, Kristian Hartikainen, Avi Singh, Vikash Kumar, Sergey Levine:
The Ingredients of Real World Robotic Reinforcement Learning. ICLR 2020 - 2019
- [c2]Michael Ahn, Henry Zhu, Kristian Hartikainen, Hugo Ponte, Abhishek Gupta, Sergey Levine, Vikash Kumar:
ROBEL: Robotics Benchmarks for Learning with Low-Cost Robots. CoRL 2019: 1300-1313 - 2018
- [c1]Tuomas Haarnoja, Kristian Hartikainen, Pieter Abbeel, Sergey Levine:
Latent Space Policies for Hierarchical Reinforcement Learning. ICML 2018: 1846-1855
Informal and Other Publications
- 2023
- [i10]Tuomas Haarnoja, Ben Moran, Guy Lever, Sandy H. Huang, Dhruva Tirumala, Markus Wulfmeier, Jan Humplik, 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:
Learning Agile Soccer Skills for a Bipedal Robot with Deep Reinforcement Learning. CoRR abs/2304.13653 (2023) - 2022
- [i9]Sasha Salter, Kristian Hartikainen, Walter Goodwin, Ingmar Posner:
Priors, Hierarchy, and Information Asymmetry for Skill Transfer in Reinforcement Learning. CoRR abs/2201.08115 (2022) - 2021
- [i8]Matthew Fellows, Kristian Hartikainen, Shimon Whiteson:
Bayesian Bellman Operators. CoRR abs/2106.05012 (2021) - 2020
- [i7]Henry Zhu, Justin Yu, Abhishek Gupta, Dhruv Shah, Kristian Hartikainen, Avi Singh, Vikash Kumar, Sergey Levine:
The Ingredients of Real-World Robotic Reinforcement Learning. CoRR abs/2004.12570 (2020) - [i6]Luisa M. Zintgraf, Leo Feng, Maximilian Igl, Kristian Hartikainen, Katja Hofmann, Shimon Whiteson:
Exploration in Approximate Hyper-State Space for Meta Reinforcement Learning. CoRR abs/2010.01062 (2020) - 2019
- [i5]Avi Singh, Larry Yang, Kristian Hartikainen, Chelsea Finn, Sergey Levine:
End-to-End Robotic Reinforcement Learning without Reward Engineering. CoRR abs/1904.07854 (2019) - [i4]Kristian Hartikainen, Xinyang Geng, Tuomas Haarnoja, Sergey Levine:
Dynamical Distance Learning for Unsupervised and Semi-Supervised Skill Discovery. CoRR abs/1907.08225 (2019) - [i3]Michael Ahn, Henry Zhu, Kristian Hartikainen, Hugo Ponte, Abhishek Gupta, Sergey Levine, Vikash Kumar:
ROBEL: Robotics Benchmarks for Learning with Low-Cost Robots. CoRR abs/1909.11639 (2019) - 2018
- [i2]Tuomas Haarnoja, Kristian Hartikainen, Pieter Abbeel, Sergey Levine:
Latent Space Policies for Hierarchical Reinforcement Learning. CoRR abs/1804.02808 (2018) - [i1]Tuomas Haarnoja, Aurick Zhou, Kristian Hartikainen, George Tucker, Sehoon Ha, Jie Tan, Vikash Kumar, Henry Zhu, Abhishek Gupta, Pieter Abbeel, Sergey Levine:
Soft Actor-Critic Algorithms and Applications. CoRR abs/1812.05905 (2018)
Coauthor Index
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