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, held in conjunction with CoRL 2026 in Austin, TX. It brings together researchers from diverse subfields to address foundational questions and concrete challenges in learning abstractions—particularly code-based and world model abstractions—for solving complex, long-horizon, sparse-reward robotics tasks through planning.
Key deadlines
Verified September 9, 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 submitting papers rejected from other conferences should address prior reviewer comments before submitting.
Official sources
Compiled from the official call for papers. The organizers’ pages remain authoritative.
Last verified September 9, 2026