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Sasha Salter*, Kristian Hartikainen*, Walter Goodwin, Ingmar Posner. Priors, Hierarchy, and Information Asymmetry for Skill Transfer in Reinforcement Learning. arXiv preprint arXiv:2201.08115. 2022.
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Matthew Fellows, Kristian Hartikainen, and Shimon Whiteson. Bayesian Bellman Operators. Neural Information Processing Systems (NeurIPS). 2021.
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Luisa Zintgraf, Leo Feng, Cong Lu, Maximilian Igl, Kristian Hartikainen, Katja Hofmann, and Shimon Whiteson. Exploration in Approximate Hyper-State Space for Meta Reinforcement Learning. International Conference on Machine Learning (ICML). 2021.
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Kristian Hartikainen, Xinyang Geng, Tuomas Haarnoja*, and Sergey Levine*. Dynamical Distance Learning for Semi-Supervised and Unsupervised Skill Discovery. 8th International Conference on Learning Representations (ICLR). 2020.
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Henry Zhu, Justin Yu, Abhishek Gupta, Dhruv Shah, Kristian Hartikainen, Avi Singh, Vikash Kumar, and Sergey Levine. The Ingredients of Real-World Robotic Reinforcement Learning. 8th International Conference on Learning Representations (ICLR). 2020.
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Michael Ahn, Henry Zhu, Kristian Hartikainen, Hugo Ponte, Abhishek Gupta, Sergey Levine, Vikash Kumar. ROBEL: Robotics Benchmarks for Learning with Low-Cost Robots. 3rd Conference on Robot Learning (CoRL). 2019.
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Avi Singh, Larry Yang, Kristian Hartikainen, Chelsea Finn, and Sergey Levine. End-to-End Robotic Reinforcement Learning without Reward Engineering. Robotics: Science and Systems (RSS). 2019.
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Tuomas Haarnoja*, Aurick Zhou*, Kristian Hartikainen*, George Tucker, Sehoon Ha, Jie Tan, Vikash Kumar, Henry Zhu, Abhishek Gupta, Pieter Abbeel, and Sergey Levine. Soft Actor-Critic Algorithms and Applications. arXiv preprint arXiv:1812.05905. 2018.
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Tuomas Haarnoja*, Kristian Hartikainen*, Pieter Abbeel, and Sergey Levine. Latent Space Policies for Hierarchical Reinforcement Learning. International Conference on Machine Learning (ICML). 2018.
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