CommentsProject website: momagen.github.io. The first four authors contribute equally. Accpeted to International Conference on Learning Representations (ICLR 2026)
Towards Bio-Inspired Robotic Trajectory Planning via Self-Supervised RNN
Miroslav Cibula, Kristína Malinovská, Matthias Kerzel
机构
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Faculty of Mathematics, Physics and Informatics, Comenius University Bratislava(数学、物理与信息学系,科门尼乌斯大学布拉迪斯拉发分校)
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Department of Informatics, University of Hamburg(信息学系,汉堡大学)
Comments12 pages, 4 figures, 2 tables. To be published in 2025 International Conference on Artificial Neural Networks (ICANN) proceedings. This research was funded by the Horizon Europe project TERAIS, GA no. 101079338, and in part by the Slovak Grant Agency for Science (VEGA), project 1/0373/23. The code can be found at https://doi.org/10.5281/zenodo.17127997
Journal refIn Artificial Neural Networks and Machine Learning. ICANN 2025 International Workshops and Special Sessions (pp. 149--160). Springer Nature Switzerland
Wenhao Yu, Nimrod Gileadi, Chuyuan Fu, Sean Kirmani, Kuang-Huei Lee, Montse Gonzalez Arenas, Hao-Tien Lewis Chiang, Tom Erez, Leonard Hasenclever, Jan Humplik, Brian Ichter, Ted Xiao, Peng Xu, Andy Zeng, Tingnan Zhang, Nicolas Heess, Dorsa Sadigh, Jie Tan, Yuval Tassa, Fei Xia
Multi-Goal Reinforcement Learning: Challenging Robotics Environments and Request for Research
Matthias Plappert, Marcin Andrychowicz, Alex Ray, Bob McGrew, Bowen Baker, Glenn Powell, Jonas Schneider, Josh Tobin, Maciek Chociej, Peter Welinder, Vikash Kumar, Wojciech Zaremba
CommentsConference on Robot Learning (CoRL) 2025. 50 pages and 30 figures. v2 is the camera-ready and includes a few more new experiments compared to v1