CoRL 2024 Past Other
2nd CoRL Workshop on Learning Effective Abstractions for Planning
LEAP 2024
- Submission deadline
- Oct 12, 2024, 11:59 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 (52)
Fetched from OpenReview (v2) on 2026-06-10.
-
A Real-to-Sim-to-Real Approach to Robotic Manipulation with VLM-Generated Iterative Keypoint Rewards
-
AHA: A Vision-Language-Model for Detecting and Reasoning Over Failures in Robotic Manipulation
-
BaB-ND: Long-Horizon Motion Planning with Branch-and-Bound and Neural Dynamics
-
BMP: Bridging the Gap between B-Spline and Movement Primitives
-
Constrained Latent Action Policies for Model-Based Offline Reinforcement Learning
-
Contrastive Learning for Enhancing Robust Scene Transfer in Vision-based Agile Flight
-
CuriousBot: Interactive Mobile Exploration via Actionable 3D Relational Object Graph
-
DELTA: Decomposed Efficient Long-Term Robot Task Planning using Large Language Models
-
DynaMem: Online Dynamic Spatio-Semantic Memory for Open World Mobile Manipulation
-
Efficient long-horizon planning and learning for locomotion and object manipulation
-
Enhancing Object Search by Augmenting Planning with Predictions from Large Language Models
-
Environment as Policy: Learning to Race in Unseen Tracks
-
FLIP: Flow-Centric Generative Planning for General-Purpose Manipulation Tasks
-
FlowNav: Learning Efficient Navigation Policies via Conditional Flow Matching
-
Generative Factor Chaining: Coordinated Manipulation with Diffusion-based Factor Graph
-
Guiding Long-Horizon Task and Motion Planning with Vision Language Models
-
Illustrated Landmark Graphs for Long-Horizon Policy Learning
-
Lang2LTL-2: Grounding Spatiotemporal Navigation Commands Using Large Language and Vision-Language Models
-
Language Guided Operator Learning for Goal Inference
-
Language Models can Infer Action Semantics for Symbolic Planners from Environment Feedback
-
Latent Space Exploration and Trajectory Space Update in Temporally-Correlated Episodic Reinforcement Learning
-
Learning Compositional Behaviors from Demonstration and Language
-
Learning Contact-rich Abstractions using Tensor Factorization
-
Learning to Act for Perceiving in Partially Unknown Environments
-
Least Commitment Planning for the Object Scouting Problem - Preliminary Results
-
Let's Make a Splan: Risk-Aware Trajectory Optimization in a Normalized Gaussian Splat
-
Local Policies Enable Zero-shot Long-horizon Manipulation
-
LTL-Transfer: Skill Transfer for Temporal Task Specification
-
MotIF: Motion Instruction Fine-tuning
-
Neural MP: A Generalist Neural Motion Planner
-
On the Role of the Action Space in Robot Manipulation Learning and Sim-to-Real Transfer
-
One-Shot Manipulation Strategy Learning by Making Contact Analogies
-
Online Neuro-Symbolic Predicate Invention for High-Level Planning
-
Planning with Adaptive World Models for Autonomous Driving
-
Points2Plans: From Point Clouds to Long-Horizon Plans with Composable Relational Dynamics
-
ReKep: Spatio-Temporal Reasoning of Relational Keypoint Constraints for Robotic Manipulation
-
Representing Positional Information in Generative World Models for Object Manipulation
-
RoboEXP: Action-Conditioned Scene Graph via Interactive Exploration for Robotic Manipulation
-
Robot Utility Models: General Policies for Zero-Shot Deployment in New Environments
-
Safe Multi-Agent Navigation guided by Goal-Conditioned Safe Reinforcement Learning
-
Say-REAPEx: An LLM-Modulo UAV Online Planning Framework for Search and Rescue
-
Sequential Object-Centric Relative Placement Prediction for Long-horizon Imitation Learning
-
SkillGen: Automated Demonstration Generation for Efficient Skill Learning and Deployment
-
SkillWrapper: Skill Abstraction in the Era of Foundation Models
-
SPIRE: Synergistic Planning, Imitation, and Reinforcement for Long-Horizon Manipulation
-
Structured Exploration in Reinforcement Learning by Hypothesizing Linear Temporal Logic Formulas
-
Successor Representations Enable Emergent Compositional Instruction Following
-
TAMPering with RLBench: Enabling joint developments in Task and Motion Planning and Reinforcement Learning research
-
ThinkGrasp: A Vision-Language System for Strategic Part Grasping in Clutter
-
TOP-ERL: Transformer-based Off-Policy Episodic Reinforcement Learning
-
VQ-CNMP: Neuro-Symbolic Skill Learning for Bi-Level Planning
-
Zero-Shot Offline Imitation Learning via Optimal Transport