Learning to Bridge the Gap: Efficient Novelty Recovery with Planning and Reinforcement Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Li, Alicia, Kumar, Nishanth, Lozano-Pérez, Tomás, Kaelbling, Leslie |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Trust the PRoC3S: Solving Long-Horizon Robotics Problems with LLMs and Constraint Satisfaction
by: Curtis, Aidan, et al.
Published: (2024)
by: Curtis, Aidan, et al.
Published: (2024)
Predicate Invention for Bilevel Planning
by: Silver, Tom, et al.
Published: (2022)
by: Silver, Tom, et al.
Published: (2022)
Guided Exploration for Efficient Relational Model Learning
by: Feng, Annie, et al.
Published: (2025)
by: Feng, Annie, et al.
Published: (2025)
Rational Inverse Reasoning
by: Zandonati, Ben, et al.
Published: (2025)
by: Zandonati, Ben, et al.
Published: (2025)
Combining Planning and Diffusion for Mobility with Unknown Dynamics
by: Ravan, Yajvan, et al.
Published: (2024)
by: Ravan, Yajvan, et al.
Published: (2024)
From Pixels to Predicates: Learning Symbolic World Models via Pretrained Vision-Language Models
by: Athalye, Ashay, et al.
Published: (2024)
by: Athalye, Ashay, et al.
Published: (2024)
Embodied Uncertainty-Aware Object Segmentation
by: Fang, Xiaolin, et al.
Published: (2024)
by: Fang, Xiaolin, et al.
Published: (2024)
Partially Observable Task and Motion Planning with Uncertainty and Risk Awareness
by: Curtis, Aidan, et al.
Published: (2024)
by: Curtis, Aidan, et al.
Published: (2024)
Seeing is Believing: Belief-Space Planning with Foundation Models as Uncertainty Estimators
by: Zhao, Linfeng, et al.
Published: (2025)
by: Zhao, Linfeng, et al.
Published: (2025)
One-Shot Manipulation Strategy Learning by Making Contact Analogies
by: Liu, Yuyao, et al.
Published: (2024)
by: Liu, Yuyao, et al.
Published: (2024)
"Set It Up!": Functional Object Arrangement with Compositional Generative Models
by: Xu, Yiqing, et al.
Published: (2024)
by: Xu, Yiqing, et al.
Published: (2024)
Streaming Flow Policy: Simplifying diffusion/flow-matching policies by treating action trajectories as flow trajectories
by: Jiang, Sunshine, et al.
Published: (2025)
by: Jiang, Sunshine, et al.
Published: (2025)
DiMSam: Diffusion Models as Samplers for Task and Motion Planning under Partial Observability
by: Fang, Xiaolin, et al.
Published: (2023)
by: Fang, Xiaolin, et al.
Published: (2023)
Keypoint Abstraction using Large Models for Object-Relative Imitation Learning
by: Fang, Xiaolin, et al.
Published: (2024)
by: Fang, Xiaolin, et al.
Published: (2024)
Practice Makes Perfect: Planning to Learn Skill Parameter Policies
by: Kumar, Nishanth, et al.
Published: (2024)
by: Kumar, Nishanth, et al.
Published: (2024)
Novelty Adaptation Through Hybrid Large Language Model (LLM)-Symbolic Planning and LLM-guided Reinforcement Learning
by: Lu, Hong, et al.
Published: (2026)
by: Lu, Hong, et al.
Published: (2026)
Compositional Generative Modeling: A Single Model is Not All You Need
by: Du, Yilun, et al.
Published: (2024)
by: Du, Yilun, et al.
Published: (2024)
Open-World Task and Motion Planning via Vision-Language Model Generated Constraints
by: Kumar, Nishanth, et al.
Published: (2024)
by: Kumar, Nishanth, et al.
Published: (2024)
Differentiable GPU-Parallelized Task and Motion Planning
by: Shen, William, et al.
Published: (2024)
by: Shen, William, et al.
Published: (2024)
Bi-Level Belief Space Search for Compliant Part Mating Under Uncertainty
by: Chintalapudi, Sahit, et al.
Published: (2024)
by: Chintalapudi, Sahit, et al.
Published: (2024)
Flow-based Domain Randomization for Learning and Sequencing Robotic Skills
by: Curtis, Aidan, et al.
Published: (2025)
by: Curtis, Aidan, et al.
Published: (2025)
RLRC: Reinforcement Learning-based Recovery for Compressed Vision-Language-Action Models
by: Chen, Yuxuan, et al.
Published: (2025)
by: Chen, Yuxuan, et al.
Published: (2025)
Learning to Plan & Schedule with Reinforcement-Learned Bimanual Robot Skills
by: Wan, Weikang, et al.
Published: (2025)
by: Wan, Weikang, et al.
Published: (2025)
Guiding Long-Horizon Task and Motion Planning with Vision Language Models
by: Yang, Zhutian, et al.
Published: (2024)
by: Yang, Zhutian, et al.
Published: (2024)
The Emergence of Deep Reinforcement Learning for Path Planning
by: Nguyen, Thanh Thi, et al.
Published: (2025)
by: Nguyen, Thanh Thi, et al.
Published: (2025)
RoboGPT-R1: Enhancing Robot Planning with Reinforcement Learning
by: Liu, Jinrui, et al.
Published: (2025)
by: Liu, Jinrui, et al.
Published: (2025)
TiPToP: A Modular Open-Vocabulary Planning System for Robotic Manipulation
by: Shen, William, et al.
Published: (2026)
by: Shen, William, et al.
Published: (2026)
Efficient Reinforcement Learning for Jumping Monopods
by: Bussola, Riccardo, et al.
Published: (2023)
by: Bussola, Riccardo, et al.
Published: (2023)
What Planning Problems Can A Relational Neural Network Solve?
by: Mao, Jiayuan, et al.
Published: (2023)
by: Mao, Jiayuan, et al.
Published: (2023)
LaMOuR: Leveraging Language Models for Out-of-Distribution Recovery in Reinforcement Learning
by: Kim, Chan, et al.
Published: (2025)
by: Kim, Chan, et al.
Published: (2025)
Towards Practical Finite Sample Bounds for Motion Planning in TAMP
by: Shaw, Seiji, et al.
Published: (2024)
by: Shaw, Seiji, et al.
Published: (2024)
Adapting Reinforcement Learning for Path Planning in Constrained Parking Scenarios
by: Tao, Feng, et al.
Published: (2026)
by: Tao, Feng, et al.
Published: (2026)
RecoveryChaining: Learning Local Recovery Policies for Robust Manipulation
by: Vats, Shivam, et al.
Published: (2024)
by: Vats, Shivam, et al.
Published: (2024)
Path Planning through Multi-Agent Reinforcement Learning in Dynamic Environments
by: De Maeyer, Jonas, et al.
Published: (2025)
by: De Maeyer, Jonas, et al.
Published: (2025)
Automatic Curriculum Learning for Driving Scenarios: Towards Robust and Efficient Reinforcement Learning
by: Abouelazm, Ahmed, et al.
Published: (2025)
by: Abouelazm, Ahmed, et al.
Published: (2025)
Speeding Up Path Planning via Reinforcement Learning in MCTS for Automated Parking
by: Zheng, Xinlong, et al.
Published: (2024)
by: Zheng, Xinlong, et al.
Published: (2024)
Bidirectional Task-Motion Planning Based on Hierarchical Reinforcement Learning for Strategic Confrontation
by: Wu, Qizhen, et al.
Published: (2025)
by: Wu, Qizhen, et al.
Published: (2025)
Optimizing Path Planning using Deep Reinforcement Learning for UGVs in Precision Agriculture
by: Patade, Laukik, et al.
Published: (2026)
by: Patade, Laukik, et al.
Published: (2026)
Equivariant Action Sampling for Reinforcement Learning and Planning
by: Zhao, Linfeng, et al.
Published: (2024)
by: Zhao, Linfeng, et al.
Published: (2024)
AirHunt: Bridging VLM Semantics and Continuous Planning for Efficient Aerial Object Navigation
by: Chen, Xuecheng, et al.
Published: (2026)
by: Chen, Xuecheng, et al.
Published: (2026)
Similar Items
-
Trust the PRoC3S: Solving Long-Horizon Robotics Problems with LLMs and Constraint Satisfaction
by: Curtis, Aidan, et al.
Published: (2024) -
Predicate Invention for Bilevel Planning
by: Silver, Tom, et al.
Published: (2022) -
Guided Exploration for Efficient Relational Model Learning
by: Feng, Annie, et al.
Published: (2025) -
Rational Inverse Reasoning
by: Zandonati, Ben, et al.
Published: (2025) -
Combining Planning and Diffusion for Mobility with Unknown Dynamics
by: Ravan, Yajvan, et al.
Published: (2024)