CoRL 2025PastAgents

3rd CoRL Workshop on Learning Effective Abstractions for Planning (Early-bird)

CoRL 2025 Workshop LEAP (Early-bird)

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Submission deadline: Aug 21, 2025, 11:59 UTC
imported from OpenReview — check the website for extensions
Submission portal: OpenReview
Notes: Topics were auto-suggested and may be imprecise — edits welcome.

Accepted papers (10)

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

Fac-TDMPC: Learning an Efficient and Robust Factored World Mdoel for Robot Planning
Yuan Zhang, Jianhong Wang, Joschka Boedecker · PDF
From Code to Action: Hierarchical Learning of Diffusion-VLM Policies
Markus Peschl, Pietro Mazzaglia, Daniel Dijkman · PDF
HELIOS: Hierarchical Exploration for Language-grounded Interaction in Open Scenes
Katrina Ashton, Chahyon Ku, Shrey Shah, Wen Jiang, Kostas Daniilidis, Bernadette Bucher · PDF
Hybrid Thinking in Vision-Language-Action Models
Pietro Mazzaglia, Cansu Sancaktar, Markus Peschl, Daniel Dijkman · PDF
If You Can Make an Omelette, Can You Crack an Egg? Probing Zero-Shot Subtask Generalization in Vision-Language-Action Models
Grigorii Guz, Giuseppe Carenini, Mathias Lécuyer, Michiel van de Panne, Vered Shwartz · PDF
Improving Pre-Trained Vision-Language-Action Policies with Model-Based Search
Cyrus Neary, Omar G. Younis, Artur Kuramshin, Ozgur Aslan, Glen Berseth · PDF
Learning 3D Scene Analogies with Neural Contextual Scene Maps
Junho Kim, Gwangtak Bae, Eun Sun Lee, Young Min Kim · PDF
Model Predictive Adversarial Imitation Learning for Planning from Observation
Tyler Han, Yanda Bao, Bhaumik Mehta, Gabriel Guo, Anubhav Vishwakarma, Emily Kang, Sanghun Jung, Rosario Scalise, Jason Liren Zhou, Bryan Xu, Byron Boots · PDF
Robotic Manipulation by Imitating Generated Videos Without Physical Demonstrations
Shivansh Patel, Shraddhaa Mohan, Hanlin Mai, Unnat Jain, Svetlana Lazebnik, Yunzhu Li · PDF
Touch begins where vision ends: Generalizable policies for contact-rich manipulation
Zifan Zhao, Siddhant Haldar, Jinda Cui, Lerrel Pinto, Raunaq Bhirangi · PDF

Accepted papers (10)

☆Fac-TDMPC: Learning an Efficient and Robust Factored World Mdoel for Robot Planning

☆From Code to Action: Hierarchical Learning of Diffusion-VLM Policies

☆HELIOS: Hierarchical Exploration for Language-grounded Interaction in Open Scenes

☆Hybrid Thinking in Vision-Language-Action Models

☆If You Can Make an Omelette, Can You Crack an Egg? Probing Zero-Shot Subtask Generalization in Vision-Language-Action Models

☆Improving Pre-Trained Vision-Language-Action Policies with Model-Based Search

☆Learning 3D Scene Analogies with Neural Contextual Scene Maps

☆Model Predictive Adversarial Imitation Learning for Planning from Observation

☆Robotic Manipulation by Imitating Generated Videos Without Physical Demonstrations

☆Touch begins where vision ends: Generalizable policies for contact-rich manipulation

Fac-TDMPC: Learning an Efficient and Robust Factored World Mdoel for Robot Planning

From Code to Action: Hierarchical Learning of Diffusion-VLM Policies

HELIOS: Hierarchical Exploration for Language-grounded Interaction in Open Scenes

Hybrid Thinking in Vision-Language-Action Models

If You Can Make an Omelette, Can You Crack an Egg? Probing Zero-Shot Subtask Generalization in Vision-Language-Action Models

Improving Pre-Trained Vision-Language-Action Policies with Model-Based Search

Learning 3D Scene Analogies with Neural Contextual Scene Maps

Model Predictive Adversarial Imitation Learning for Planning from Observation

Robotic Manipulation by Imitating Generated Videos Without Physical Demonstrations

Touch begins where vision ends: Generalizable policies for contact-rich manipulation