Cover Image

CLIMB: Language-Guided Continual Learning for Task Planning with Iterative Model Building

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Byrnes, Walker, Bogdanovic, Miroslav, Balakirsky, Avi, Balakirsky, Stephen, Garg, Animesh
Format:	Preprint
Published:	2024
Subjects:	Robotics Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

PWM: Policy Learning with Multi-Task World Models
by: Georgiev, Ignat, et al.
Published: (2024)

ReinforceGen: Hybrid Skill Policies with Automated Data Generation and Reinforcement Learning
by: Zhou, Zihan, et al.
Published: (2025)

SPIRE: Synergistic Planning, Imitation, and Reinforcement Learning for Long-Horizon Manipulation
by: Zhou, Zihan, et al.
Published: (2024)

Towards Bio-Inspired Robotic Trajectory Planning via Self-Supervised RNN
by: Cibula, Miroslav, et al.
Published: (2025)

Can only LLMs do Reasoning?: Potential of Small Language Models in Task Planning
by: Choi, Gawon, et al.
Published: (2024)

Plan-Seq-Learn: Language Model Guided RL for Solving Long Horizon Robotics Tasks
by: Dalal, Murtaza, et al.
Published: (2024)

COBALT: Crowdsourcing Robot Learning via Cloud-Based Teleoperation with Smartphones
by: Agarwal, Ayush, et al.
Published: (2026)

Knowledge-Guided Manipulation Using Multi-Task Reinforcement Learning
by: Narendra, Aditya, et al.
Published: (2026)

CLAM: Continuous Latent Action Models for Robot Learning from Unlabeled Demonstrations
by: Liang, Anthony, et al.
Published: (2025)

Learning with Language-Guided State Abstractions
by: Peng, Andi, et al.
Published: (2024)

Learning Low-Level Causal Relations using a Simulated Robotic Arm
by: Cibula, Miroslav, et al.
Published: (2024)

RoCoDA: Counterfactual Data Augmentation for Data-Efficient Robot Learning from Demonstrations
by: Ameperosa, Ezra, et al.
Published: (2024)

Putting the Iterative Training of Decision Trees to the Test on a Real-World Robotic Task
by: Engelhardt, Raphael C., et al.
Published: (2024)

Pretrained Vision-Language-Action Models are Surprisingly Resistant to Forgetting in Continual Learning
by: Liu, Huihan, et al.
Published: (2026)

Control Synthesis from Linear Temporal Logic Specifications using Model-Free Reinforcement Learning
by: Bozkurt, Alper Kamil, et al.
Published: (2019)

Tree-Planner: Efficient Close-loop Task Planning with Large Language Models
by: Hu, Mengkang, et al.
Published: (2023)

Motion Planning Diffusion: Learning and Planning of Robot Motions with Diffusion Models
by: Carvalho, Joao, et al.
Published: (2023)

Grounding Language Models in Autonomous Loco-manipulation Tasks
by: Wang, Jin, et al.
Published: (2024)

Revisiting Space Mission Planning: A Reinforcement Learning-Guided Approach for Multi-Debris Rendezvous
by: Bandyopadhyay, Agni, et al.
Published: (2024)

CRL-VLA: Continual Vision-Language-Action Learning
by: Zeng, Qixin, et al.
Published: (2026)

Learning Optimal Strategies for Temporal Tasks in Stochastic Games
by: Bozkurt, Alper Kamil, et al.
Published: (2021)

PhyPlan: Generalizable and Rapid Physical Task Planning with Physics Informed Skill Networks for Robot Manipulators
by: Chopra, Mudit, et al.
Published: (2024)

Learning Neuro-symbolic Programs for Language Guided Robot Manipulation
by: Kalithasan, Namasivayam, et al.
Published: (2022)

Anytime Incremental $ρ$POMDP Planning in Continuous Spaces
by: Benchetrit, Ron, et al.
Published: (2025)

Hierarchical Planning for Complex Tasks with Knowledge Graph-RAG and Symbolic Verification
by: Cornelio, Cristina, et al.
Published: (2025)

DrEureka: Language Model Guided Sim-To-Real Transfer
by: Ma, Yecheng Jason, et al.
Published: (2024)

Continual Model-Based Reinforcement Learning with Hypernetworks
by: Huang, Yizhou, et al.
Published: (2020)

Distilling On-device Language Models for Robot Planning with Minimal Human Intervention
by: Ravichandran, Zachary, et al.
Published: (2025)

Few-Shot Task Learning through Inverse Generative Modeling
by: Netanyahu, Aviv, et al.
Published: (2024)

Model-Based Reinforcement Learning with Multi-Task Offline Pretraining
by: Pan, Minting, et al.
Published: (2023)

CoverLib: Classifiers-equipped Experience Library by Iterative Problem Distribution Coverage Maximization for Domain-tuned Motion Planning
by: Ishida, Hirokazu, et al.
Published: (2024)

Discrete-Guided Diffusion for Scalable and Safe Multi-Robot Motion Planning
by: Liang, Jinhao, et al.
Published: (2025)

Autonomous Behavior Planning For Humanoid Loco-manipulation Through Grounded Language Model
by: Wang, Jin, et al.
Published: (2024)

CLIMB: Class-imbalanced Learning Benchmark on Tabular Data
by: Liu, Zhining, et al.
Published: (2025)

Data-Efficient Hierarchical Goal-Conditioned Reinforcement Learning via Normalizing Flows
by: Garg, Shaswat, et al.
Published: (2026)

Projected Task-Specific Layers for Multi-Task Reinforcement Learning
by: Roberts, Josselin Somerville, et al.
Published: (2023)

TAIL: Task-specific Adapters for Imitation Learning with Large Pretrained Models
by: Liu, Zuxin, et al.
Published: (2023)

AnyPlace: Learning Generalized Object Placement for Robot Manipulation
by: Zhao, Yuchi, et al.
Published: (2025)

Unsupervised Skill Discovery as Exploration for Learning Agile Locomotion
by: Rho, Seungeun, et al.
Published: (2025)

Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model
by: Zheng, Yinan, et al.
Published: (2024)