Cover Image

Unleashing Embodied Task Planning Ability in LLMs via Reinforcement Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Fei, Zhaoye, Ji, Li, Wang, Siyin, Shi, Junhao, Gong, Jingjing, Qiu, Xipeng
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

World-aware Planning Narratives Enhance Large Vision-Language Model Planner
by: Shi, Junhao, et al.
Published: (2025)

World Modeling Makes a Better Planner: Dual Preference Optimization for Embodied Task Planning
by: Wang, Siyin, et al.
Published: (2025)

AstroReason-Bench: Evaluating Unified Agentic Planning across Heterogeneous Space Planning Problems
by: Wang, Weiyi, et al.
Published: (2026)

Balanced Data Sampling for Language Model Training with Clustering
by: Shao, Yunfan, et al.
Published: (2024)

R3-RAG: Learning Step-by-Step Reasoning and Retrieval for LLMs via Reinforcement Learning
by: Li, Yuan, et al.
Published: (2025)

Safe Inputs but Unsafe Output: Benchmarking Cross-modality Safety Alignment of Large Vision-Language Model
by: Wang, Siyin, et al.
Published: (2024)

World Action Models: The Next Frontier in Embodied AI
by: Wang, Siyin, et al.
Published: (2026)

Enhancing the Medical Context-Awareness Ability of LLMs via Multifaceted Self-Refinement Learning
by: Zhou, Yuxuan, et al.
Published: (2025)

LIBERO-Plus: In-depth Robustness Analysis of Vision-Language-Action Models
by: Fei, Senyu, et al.
Published: (2025)

Kardia-R1: Unleashing LLMs to Reason toward Understanding and Empathy for Emotional Support via Rubric-as-Judge Reinforcement Learning
by: Yuan, Jiahao, et al.
Published: (2025)

PANDA: Preference Adaptation for Enhancing Domain-Specific Abilities of LLMs
by: Liu, An, et al.
Published: (2024)

Learning from Trials and Errors: Reflective Test-Time Planning for Embodied LLMs
by: Hong, Yining, et al.
Published: (2026)

Logic-RL: Unleashing LLM Reasoning with Rule-Based Reinforcement Learning
by: Xie, Tian, et al.
Published: (2025)

VLABench: A Large-Scale Benchmark for Language-Conditioned Robotics Manipulation with Long-Horizon Reasoning Tasks
by: Zhang, Shiduo, et al.
Published: (2024)

True Knowledge Comes from Practice: Aligning LLMs with Embodied Environments via Reinforcement Learning
by: Tan, Weihao, et al.
Published: (2024)

Turn Waste into Worth: Rectifying Top-$k$ Router of MoE
by: Zeng, Zhiyuan, et al.
Published: (2024)

Generative Floor Plan Design with LLMs via Reinforcement Learning with Verifiable Rewards
by: Lara, Luis, et al.
Published: (2026)

Embodied Agent Interface: Benchmarking LLMs for Embodied Decision Making
by: Li, Manling, et al.
Published: (2024)

MetaSICL: Adapting Audiroty LLM via Meta Speech In-Context Learning
by: Zheng, Haolong, et al.
Published: (2026)

WESR: Scaling and Evaluating Word-level Event-Speech Recognition
by: Yang, Chenchen, et al.
Published: (2026)

Aligning Paralinguistic Understanding and Generation in Speech LLMs via Multi-Task Reinforcement Learning
by: Chen, Jingxiang, et al.
Published: (2026)

Adaptive Ability Decomposing for Unlocking Large Reasoning Model Effective Reinforcement Learning
by: Chen, Zhipeng, et al.
Published: (2026)

How to Mitigate Overfitting in Weak-to-strong Generalization?
by: Shi, Junhao, et al.
Published: (2025)

Understanding the Role of LLMs in Multimodal Evaluation Benchmarks
by: Jiang, Botian, et al.
Published: (2024)

VisuoThink: Empowering LVLM Reasoning with Multimodal Tree Search
by: Wang, Yikun, et al.
Published: (2025)

ConvSearch-R1: Enhancing Query Reformulation for Conversational Search with Reasoning via Reinforcement Learning
by: Zhu, Changtai, et al.
Published: (2025)

ReSearch: Learning to Reason with Search for LLMs via Reinforcement Learning
by: Chen, Mingyang, et al.
Published: (2025)

LLM-Empowered Embodied Agent for Memory-Augmented Task Planning in Household Robotics
by: Glocker, Marc, et al.
Published: (2025)

Scaling Medical Reasoning Verification via Tool-Integrated Reinforcement Learning
by: Zhang, Hang, et al.
Published: (2026)

Unleashing the Emergent Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration
by: Wang, Zhenhailong, et al.
Published: (2023)

Agent Alignment in Evolving Social Norms
by: Li, Shimin, et al.
Published: (2024)

Reinforcement Learning Enhanced LLMs: A Survey
by: Wang, Shuhe, et al.
Published: (2024)

Towards Economical Inference: Enabling DeepSeek's Multi-Head Latent Attention in Any Transformer-based LLMs
by: Ji, Tao, et al.
Published: (2025)

Selective Expert Guidance for Effective and Diverse Exploration in Reinforcement Learning of LLMs
by: Jiang, Zishang, et al.
Published: (2025)

Decomposing the Basic Abilities of Large Language Models: Mitigating Cross-Task Interference in Multi-Task Instruct-Tuning
by: Wang, Bing, et al.
Published: (2026)

Eliciting Causal Abilities in Large Language Models for Reasoning Tasks
by: Wang, Yajing, et al.
Published: (2024)

REI-Bench: Can Embodied Agents Understand Vague Human Instructions in Task Planning?
by: Jiang, Chenxi, et al.
Published: (2025)

Putting People in LLMs' Shoes: Generating Better Answers via Question Rewriter
by: Chen, Junhao, et al.
Published: (2024)

RLAP: A Reinforcement Learning Enhanced Adaptive Planning Framework for Multi-step NLP Task Solving
by: Ding, Zepeng, et al.
Published: (2025)

Self-Guided Plan Extraction for Instruction-Following Tasks with Goal-Conditional Reinforcement Learning
by: Volovikova, Zoya, et al.
Published: (2026)