CoRL 2024PastAgents
2nd CoRL Workshop on Learning Effective Abstractions for Planning
LEAP 2024
- Submission deadline
- Oct 12, 2024, 11:59 UTCimported from OpenReview — check the website for extensions
- Submission portal
- OpenReview
- Notes
- Topics were auto-suggested and may be imprecise — edits welcome.
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