CoRL 2025 Past Other

3rd CoRL Workshop on Learning Effective Abstractions for Planning (Rolling)

CoRL 2025 Workshop LEAP (Rolling)

Submission deadline
Sep 5, 2025, 23:59 UTC
imported from OpenReview — check the website for extensions
Submission portal
OpenReview
Notes
Auto-imported from the OpenReview venue record on 2026-06-10 — please verify and enrich (topics are keyword-guessed).

Accepted papers (14)

Fetched from OpenReview (v2) on 2026-06-10.

  1. BEAST: Efficient Tokenization of B-Splines Encoded Action Sequences for Imitation Learning

    Hongyi Zhou, Weiran Liao, Xi Huang, Yucheng Tang, Fabian Otto, Xiaogang Jia, Xinkai Jiang, Simon Hilber, Ge Li, Qian Wang, Ömer Erdinç Yağmurlu, Nils Blank, Moritz Reuss, Rudolf Lioutikov · PDF
  2. Diffusion-Guided Q-Learning for Offline RL: Adaptive Revaluation for Long-Horizon Decision Making

    Jaehyun Park, Yunho Kim, Sejin Kim, Byung-Jun Lee, Sundong Kim · PDF
  3. From Skills to TAMP: Learning Portable Symbolic Representations for Task and Motion Planning

    Naman Shah, Benned Hedegaard, Yichen Wei, Ziyi Yang, Alper Ahmetoglu, Stefanie Tellex, George Konidaris · PDF
  4. Gondola: Grounded Vision Language Planning for Generalizable Robotic Manipulation

    Shizhe Chen, Ricardo Garcia Pinel, Paul Pacaud, Cordelia Schmid · PDF
  5. Hierarchical Vision-Language-Action Policies for Global Reasoning in Assembly Tasks

    Moritz Hesche, Moritz Reuss, Marc Forstenhäusler, Rudolf Lioutikov · PDF
  6. Learning Sound Symbolic Abstractions from VLMs for Efficient Task and Motion Planning on CALVIN

    Bayron Jossue Serrano Mena · PDF
  7. Learning to Plan & Schedule with Reinforcement-Learned Bimanual Robot Skills

    Weikang Wan, Fabio Ramos, Xuning Yang, Caelan Reed Garrett · PDF
  8. Preference-Based Long-Horizon Robotic Stacking with Multimodal Large Language Models

    Wanming Yu, Adrian Röfer, Abhinav Valada, Sethu Vijayakumar · PDF
  9. SEAL: Safe and Efficient Abstraction Learning for Robotic Planning

    Akhil R Kurup, Ravi Prakash · PDF
  10. SPUR: Scaling Reward Learning from Human Demonstrations

    Anthony Liang, Yigit Korkmaz, Jiahui Zhang, Jesse Zhang, Abrar Anwar, Sidhant Kaushik, Yufei Wang, Yu Xiang, David Held, Dieter Fox, Abhishek Gupta, Stephen Tu, Erdem Biyik · PDF
  11. SymSkill: Symbol and Skill Co-Invention for Data-Efficient and Real-Time Long-Horizon Manipulation

    Yifei Simon Shao, Yuchen Zheng, Sunan Sun, Nadia Figueroa · PDF
  12. Uncertainty-Aware Planning with Generative World- and Language-Models via Monte Carlo Tree Search

    Magí Dalmau-Moreno, Nestor Garcia, Vicenç Gomez · PDF
  13. Unleashing Humanoid Reaching Potential via Real-world-Ready Skill Space

    Zhikai Zhang, Chao Chen, Han Xue, Jilong Wang, Sikai Liang, Yun Liu, Zongzhang Zhang, He Wang, Li Yi · PDF
  14. Zero-order optimization with contact priors for locomotion

    Victor Dhédin, Majid Khadiv · PDF