Kristian Hartikainen

According to our database, Kristian Hartikainen authored at least 14 papers between 2018 and 2023.

Collaborative distances:

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

2023

Learning Agile Soccer Skills for a Bipedal Robot with Deep Reinforcement Learning.

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

CoRR, 2023

Priors, Hierarchy, and Information Asymmetry for Skill Transfer in Reinforcement Learning.

Sasha Salter, Kristian Hartikainen, Walter Goodwin, Ingmar Posner

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Learning Skills Diverse in Value-Relevant Features.

Matthew J. A. Smith, Jelena Luketina, Kristian Hartikainen, Maximilian Igl, Shimon Whiteson

Proceedings of the Conference on Lifelong Learning Agents, 2022

2021

Bayesian Bellman Operators.

Matthew Fellows, Kristian Hartikainen, Shimon Whiteson

CoRR, 2021

Bayesian Bellman Operators.

Mattie Fellows, Kristian Hartikainen, Shimon Whiteson

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Exploration in Approximate Hyper-State Space for Meta Reinforcement Learning.

Luisa M. Zintgraf, Leo Feng, Cong Lu, Maximilian Igl, Kristian Hartikainen, Katja Hofmann, Shimon Whiteson

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Exploration in Approximate Hyper-State Space for Meta Reinforcement Learning.

Luisa M. Zintgraf, Leo Feng, Maximilian Igl, Kristian Hartikainen, Katja Hofmann, Shimon Whiteson

CoRR, 2020

The Ingredients of Real World Robotic Reinforcement Learning.

Henry Zhu, Justin Yu, Abhishek Gupta, Dhruv Shah, Kristian Hartikainen, Avi Singh, Vikash Kumar, Sergey Levine

Proceedings of the 8th International Conference on Learning Representations, 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

End-to-End Robotic Reinforcement Learning without Reward Engineering.

Avi Singh, Larry Yang, Kristian Hartikainen, Chelsea Finn, Sergey Levine

CoRR, 2019

ROBEL: Robotics Benchmarks for Learning with Low-Cost Robots.

Michael Ahn, Henry Zhu, Kristian Hartikainen, Hugo Ponte, Abhishek Gupta, Sergey Levine, Vikash Kumar

Proceedings of the 3rd Annual Conference on Robot Learning, 2019

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

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