Long papers
Up to 8 pages plus unlimited references / appendices
Machine Learning/CORE Unranked
LEAP 2026
4th CoRL Workshop on Learning Effective Abstractions for Planning (LEAP)
LEAP 2026 is the 4th workshop on Learning Effective Abstractions for Planning, co-located with CoRL 2026, bringing together researchers to advance the integration of learning, planning, and abstraction in robotics. It focuses on two key themes: code as abstractions and world models as abstractions, aiming to address foundational questions about how learned representations can enable efficient, generalizable, and safe long-horizon robotic decision-making.
Key deadlines
Verified August 30, 2026Full paper
October 16, 2026
AoE
Workshop timeline
Submission and decisions
Full paperKey deadline
October 16, 2026 · AoE
Paper fit
Contribution paths
A strong submission should clearly identify its contribution and evaluate it appropriately.
Short papers
Up to 4 pages plus unlimited references / appendices
Research areas in scope
01
Areas of Interest
Learning generalizable and composable representations for robot planningLearning for task and motion planning (TAMP)Learning state abstractions and action abstractionsNatural language as an abstraction for learning-based planningLearning other knowledge representations for planningLearning for hierarchical planningLearning for LTL-based planningNeuro-symbolic approaches for task and motion planningHierarchical reinforcement learning for robotics
Policies worth checking twice
- Submissions do not need to be anonymized.
- Authors may submit work under review or accepted at other workshops/conferences (no copyright transfer required).
- Submissions already accepted at the main CoRL conference will not be accepted.
- Authors of papers rejected from other conferences should address reviewer comments before submitting to LEAP.
Official sources
Compiled from the official call for papers. The organizers’ pages remain authoritative.
Last verified August 30, 2026