Poster "hierarchical planning" Papers

12 papers found

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Conference

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Paper Type

poster (24,624)paper (8,558)oral (1,594)spotlight (1,421)highlight (975)

Action abstractions for amortized sampling

Oussama Boussif, Léna Ezzine, Joseph Viviano et al.

ICLR 2025arXiv:2410.15184
3
citations

Agent S: An Open Agentic Framework that Uses Computers Like a Human

Saaket Agashe, Jiuzhou Han, Shuyu Gan et al.

ICLR 2025arXiv:2410.08164
107
citations

Hypothetical Minds: Scaffolding Theory of Mind for Multi-Agent Tasks with Large Language Models

Logan Cross, Violet Xiang, Agam Bhatia et al.

ICLR 2025arXiv:2407.07086
24
citations

Motion Control of High-Dimensional Musculoskeletal Systems with Hierarchical Model-Based Planning

Yunyue Wei, Shanning Zhuang, Vincent Zhuang et al.

ICLR 2025arXiv:2505.08238
5
citations

MrSteve: Instruction-Following Agents in Minecraft with What-Where-When Memory

Junyeong Park, Junmo Cho, Sungjin Ahn

ICLR 2025arXiv:2411.06736
5
citations

RDD: Retrieval-Based Demonstration Decomposer for Planner Alignment in Long-Horizon Tasks

Mingxuan Yan, Yuping Wang, Zechun Liu et al.

NEURIPS 2025arXiv:2510.14968
1
citations

ReCAP: Recursive Context-Aware Reasoning and Planning for Large Language Model Agents

Zhenyu Zhang, Tianyi Chen, Weiran Xu et al.

NEURIPS 2025arXiv:2510.23822
3
citations

Towards Realistic UAV Vision-Language Navigation: Platform, Benchmark, and Methodology

Xiangyu Wang, Donglin Yang, ziqin wang et al.

ICLR 2025arXiv:2410.07087
55
citations

VLA-OS: Structuring and Dissecting Planning Representations and Paradigms in Vision-Language-Action Models

Chongkai Gao, Zixuan Liu, Zhenghao Chi et al.

NEURIPS 2025arXiv:2506.17561
12
citations

PcLast: Discovering Plannable Continuous Latent States

ANURAG KOUL, Shivakanth Sujit, Shaoru Chen et al.

ICML 2024arXiv:2311.03534
3
citations

PlanDQ: Hierarchical Plan Orchestration via D-Conductor and Q-Performer

Chang Chen, Junyeob Baek, Fei Deng et al.

ICML 2024arXiv:2406.06793
4
citations

SkillDiffuser: Interpretable Hierarchical Planning via Skill Abstractions in Diffusion-Based Task Execution

Zhixuan Liang, Yao Mu, Hengbo Ma et al.

CVPR 2024arXiv:2312.11598
67
citations