Cover Image

PEAR: Planner-Executor Agent Robustness Benchmark

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Dong, Shen, Zhang, Mingxuan, He, Pengfei, Ma, Li, Thuraisingham, Bhavani, Liu, Hui, Xing, Yue
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MUBox: A Critical Evaluation Framework of Deep Machine Unlearning
by: Li, Xiang, et al.
Published: (2025)

Planner and Executor: Collaboration between Discrete Diffusion And Autoregressive Models in Reasoning
by: Berrayana, Lina, et al.
Published: (2025)

Robust and Explainable Divide-and-Conquer Learning for Intrusion Detection
by: Zhou, Yan, et al.
Published: (2026)

DeepSweep: An Evaluation Framework for Mitigating DNN Backdoor Attacks using Data Augmentation
by: Qiu, Han, et al.
Published: (2020)

Memory Injection Attacks on LLM Agents via Query-Only Interaction
by: Dong, Shen, et al.
Published: (2025)

PEAR: Equal Area Weather Forecasting on the Sphere
by: Linander, Hampus, et al.
Published: (2025)

PEAR: Primitive Enabled Adaptive Relabeling for Boosting Hierarchical Reinforcement Learning
by: Singh, Utsav, et al.
Published: (2023)

RDD: Retrieval-Based Demonstration Decomposer for Planner Alignment in Long-Horizon Tasks
by: Yan, Mingxuan, et al.
Published: (2025)

Towards the Effect of Examples on In-Context Learning: A Theoretical Case Study
by: He, Pengfei, et al.
Published: (2024)

Certifying Language Model Robustness with Fuzzed Randomized Smoothing: An Efficient Defense Against Backdoor Attacks
by: He, Bowei, et al.
Published: (2025)

LaMMA-P: Generalizable Multi-Agent Long-Horizon Task Allocation and Planning with LM-Driven PDDL Planner
by: Zhang, Xiaopan, et al.
Published: (2024)

Grounding Generative Planners in Verifiable Logic: A Hybrid Architecture for Trustworthy Embodied AI
by: Wu, Feiyu, et al.
Published: (2026)

Less is more -- the Dispatcher/ Executor principle for multi-task Reinforcement Learning
by: Riedmiller, Martin, et al.
Published: (2023)

SURGE: On the Potential of Large Language Models as General-Purpose Surrogate Code Executors
by: Lyu, Bohan, et al.
Published: (2025)

Make LLMs better zero-shot reasoners: Structure-orientated autonomous reasoning
by: He, Pengfei, et al.
Published: (2024)

Causal Flow Q-Learning for Robust Offline Reinforcement Learning
by: Li, Mingxuan, et al.
Published: (2026)

Crafting Reversible SFT Behaviors in Large Language Models
by: Lin, Yuping, et al.
Published: (2026)

PEACE: A Planner-Executor Agent with Constraint Enforcement for UAVs
by: Uysal, Erdem, et al.
Published: (2026)

What Makes a Good Diffusion Planner for Decision Making?
by: Lu, Haofei, et al.
Published: (2025)

Ensuring Calibration Robustness in Split Conformal Prediction Under Adversarial Attacks
by: Qian, Xunlei, et al.
Published: (2025)

A Comprehensive Graph Pooling Benchmark: Effectiveness, Robustness and Generalizability
by: Wang, Pengyun, et al.
Published: (2024)

PRIMER: Perception-Aware Robust Learning-based Multiagent Trajectory Planner
by: Kondo, Kota, et al.
Published: (2024)

FTimeXer: Frequency-aware Time-series Transformer with Exogenous variables for Robust Carbon Footprint Forecasting
by: Li, Qingzhong, et al.
Published: (2026)

Efficient Agent Training for Computer Use
by: He, Yanheng, et al.
Published: (2025)

Beyond Speedup -- Utilizing KV Cache for Sampling and Reasoning
by: Xing, Zeyu, et al.
Published: (2026)

Can We Rely on LLM Agents to Draft Long-Horizon Plans? Let's Take TravelPlanner as an Example
by: Chen, Yanan, et al.
Published: (2024)

Confounding Robust Continuous Control via Automatic Reward Shaping
by: Juliani, Mateo, et al.
Published: (2026)

Circuit Transformer: A Transformer That Preserves Logical Equivalence
by: Li, Xihan, et al.
Published: (2024)

A Simple Plug-in for Improving Eviction-Based KV Cache Compression
by: Lin, Yuping, et al.
Published: (2026)

When Planners Meet Reality: How Learned, Reactive Traffic Agents Shift nuPlan Benchmarks
by: Hagedorn, Steffen, et al.
Published: (2025)

Multi-Faceted Studies on Data Poisoning can Advance LLM Development
by: He, Pengfei, et al.
Published: (2025)

Superiority of Multi-Head Attention in In-Context Linear Regression
by: Cui, Yingqian, et al.
Published: (2024)

Impact of Positional Encoding: Clean and Adversarial Rademacher Complexity for Transformers under In-Context Regression
by: He, Weiyi, et al.
Published: (2025)

Off-dynamics Conditional Diffusion Planners
by: Ng, Wen Zheng Terence, et al.
Published: (2024)

ODP-Bench: Benchmarking Out-of-Distribution Performance Prediction
by: Yu, Han, et al.
Published: (2025)

AgentKernelArena: Generalization-Aware Benchmarking of GPU Kernel Optimization Agents
by: Younesian, Sharareh, et al.
Published: (2026)

Bidirectional Distillation: A Mixed-Play Framework for Multi-Agent Generalizable Behaviors
by: Feng, Lang, et al.
Published: (2025)

Knowledge Discovery in Surveys using Machine Learning: A Case Study of Women in Entrepreneurship in UAE
by: Ahmad, Syed Farhan, et al.
Published: (2021)

How to Enhance Downstream Adversarial Robustness (almost) without Touching the Pre-Trained Foundation Model?
by: Liu, Meiqi, et al.
Published: (2025)

SmartPlay: A Benchmark for LLMs as Intelligent Agents
by: Wu, Yue, et al.
Published: (2023)