Kristian Hartikainen

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 19

Top Topics

Exploration Exploitation

Reinforcement Learning

Top Venues

Publications

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)
Sasha Salter, Kristian Hartikainen, Walter Goodwin, Ingmar Posner
Priors, Hierarchy, and Information Asymmetry for Skill Transfer in Reinforcement Learning. ICLR (2023)
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 (2023)
Matthew J. A. Smith, Jelena Luketina, Kristian Hartikainen, Maximilian Igl, Shimon Whiteson
Learning Skills Diverse in Value-Relevant Features. CoLLAs (2022)
Sasha Salter, Kristian Hartikainen, Walter Goodwin, Ingmar Posner
Priors, Hierarchy, and Information Asymmetry for Skill Transfer in Reinforcement Learning. CoRR (2022)
Mattie Fellows, Kristian Hartikainen, Shimon Whiteson
Bayesian Bellman Operators. NeurIPS (2021)
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)
Matthew Fellows, Kristian Hartikainen, Shimon Whiteson
Bayesian Bellman Operators. CoRR (2021)
Kristian Hartikainen, Xinyang Geng, Tuomas Haarnoja, Sergey Levine
Dynamical Distance Learning for Semi-Supervised and Unsupervised Skill Discovery. ICLR (2020)
Luisa M. Zintgraf, Leo Feng, Maximilian Igl, Kristian Hartikainen, Katja Hofmann, Shimon Whiteson
Exploration in Approximate Hyper-State Space for Meta Reinforcement Learning. CoRR (2020)
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)
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 (2020)
Avi Singh, Larry Yang, Kristian Hartikainen, Chelsea Finn, Sergey Levine
End-to-End Robotic Reinforcement Learning without Reward Engineering. CoRR (2019)
Michael Ahn, Henry Zhu, Kristian Hartikainen, Hugo Ponte, Abhishek Gupta, Sergey Levine, Vikash Kumar
ROBEL: Robotics Benchmarks for Learning with Low-Cost Robots. CoRR (2019)
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)
Kristian Hartikainen, Xinyang Geng, Tuomas Haarnoja, Sergey Levine
Dynamical Distance Learning for Unsupervised and Semi-Supervised Skill Discovery. CoRR (2019)
Tuomas Haarnoja, Kristian Hartikainen, Pieter Abbeel, Sergey Levine
Latent Space Policies for Hierarchical Reinforcement Learning. CoRR (2018)
Tuomas Haarnoja, Kristian Hartikainen, Pieter Abbeel, Sergey Levine
Latent Space Policies for Hierarchical Reinforcement Learning. ICML (2018)
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 (2018)