Exploration

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Period ending 2026-09-21

11 new papers

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Period ending 2026-09-07

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Autonomous Exploration Strategies

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235 papersExplore

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Efficient Exploration

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129 papersExplore

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Exploration-Exploitation Dilemma

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25 papersExplore

352 papers

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A Pilot Benchmark for NL-to-FOL Translation in Planetary Exploration
May 18, 2026Hayden Moore, Suman Saha, Mahfuza FarooquePlanetary Exploration Natural Language Queries
From a Single Demonstration to a General Policy for Contact-Rich Manipulation
May 17, 2026Xing Li, Oliver BrockRobotic Manipulation Policies Real-World Manipulation Tasks
Baba in Wonderland: Online Self-Supervised Dynamics Discovery for Executable World Models
May 16, 2026SeungWon Seo, DongHeun Han, SeongRae Noh +1World Models Learning Dynamics
Look Before You Leap: Autonomous Exploration for LLM Agents
May 15, 2026Ziang Ye, Wentao Shi, Yuxin Liu +6Efficient Exploration Large Language Model Agents
ScreenSearch: Uncertainty-Aware OS Exploration
May 15, 2026Michael Solodko, Justin WagleAutonomous Exploration Strategies Workflow Automation and Optimization
Embedding-perturbed Exploration Preference Optimization for Flow Models
May 15, 2026Sujie Hu, Chubin Chen, Jiashu Zhu +3Group Relative Policy Optimization Perturbations
Nudging Beyond the Comfort Zone: Efficient Strategy-Guided Exploration for RLVR
May 15, 2026Chanuk Lee, Sangwoo Park, Minki Kang +1Reinforcement Learning With Verifiable Reward Verifiable Rewards
U-SEG: Uncertainty in SEGmentation -- A systematic multi-variable exploration
May 14, 2026Michael Smith, Frank P. FerriePanoptic Segmentation Deterministic
Ergodic Imitation for Adaptive Exploration around Demonstrations
May 13, 2026Ziyi Xu, Cem Bilaloglu, Yiming Li +1Imitation Learning Robot Trajectories
LMPath: Language-Mediated Priors and Path Generation for Aerial Exploration
May 13, 2026Jonathan A. Diller, Fernando Cladera, Camillo J. Taylor +1Coverage Path Planning Autonomous Exploration Strategies
Merging Methods for Multilingual Knowledge Editing for Large Language Models: An Empirical Odyssey
May 13, 2026Kunil Lee, Ki-Young Shin, Jong-Hyeok Lee +1Multimodal Knowledge Editing Multilingual
Exploring Human-Robot Collaboration: Analysis of Interaction Modalities in Challenging Tasks
May 13, 2026Simone Arreghini, Cristina Iani, Alessandro Giusti +3Human-Robot Collaboration Collaboration
Delightful Exploration
May 13, 2026Ian OsbandEfficient Exploration Autonomous Exploration Strategies
Collaborating in Multi-Armed Bandits with Strategic Agents
May 13, 2026Idan Barnea, Ofir Schlisselberg, Yishay MansourMulti-Armed Bandits Strategic Agents
NOVA: Fundamental Limits of Knowledge Discovery Through AI
May 12, 2026Salman Avestimehr, Ken Duffy, Muriel MédardEfficient Exploration Recursive Self-Improvement
Delay-Empowered Causal Hierarchical Reinforcement Learning
May 12, 2026Chenran Zhao, Dianxi Shi, Haotian Wang +4Hierarchical Reinforcement Learning Stochastic Delays
TMRL: Diffusion Timestep-Modulated Pretraining Enables Exploration for Efficient Policy Finetuning
May 12, 2026Matthew M. Hong, Jesse Zhang, Anusha Nagabandi +1Robot Policies Reinforcement Fine-Tuning
Learning What Matters: Adaptive Information-Theoretic Objectives for Robot Exploration
May 12, 2026Youwei Yu, Jionghao Wang, Zhengming Yu +2Efficient Exploration Bayesian Experimental Design
Exploring Token-Space Manipulation in Latent Audio Tokenizers
May 11, 2026Francesco Paissan, Luca Della Libera, Mirco Ravanelli +1Audio Tokens Neural Audio Codecs
The Metacognitive Probe: Five Behavioural Calibration Diagnostics for LLMs
May 11, 2026Rafael C. T. OliveiraMetacognition Confidence Calibration
Safe Exploration for Nonlinear Processes Using Online Gaussian Process Learning
May 10, 2026Stefano Tonini, Soroush Rastegarpour, Hamid Reza Feyzmahdavian +2Lyapunov Function Gaussian Process
Learning from Acceptance: Cumulative Regret in the Game of Coding
May 10, 2026Hanzaleh Akbari Nodehi, Parsa Moradi, Mohammad Ali Maddah-AliInformation-Theoretic Limits Acceptance
LLM-Guided Monte Carlo Tree Search over Knowledge Graphs: Composing Mechanistic Explanations for Drug-Disease Pairs
May 10, 2026Rishabh Jakhar, Michel Dumontier, Remzi CelebiKnowledge Graphs Drug-Drug Interactions
Learning to Explore: Scaling Agentic Reasoning via Exploration-Aware Policy Optimization
May 9, 2026Xingyuan Hua, Sheng Yue, Ju RenAgentic Reinforcement-Learning Framework Agentic Reasoning
How You Begin is How You Reason: Driving Exploration in RLVR via Prefix-Tuned Priors
May 9, 2026Yifan Xu, Junren Chen, Yifan ChenReinforcement Learning With Verifiable Reward Verifiable Rewards
REAP: Reinforcement-Learning End-to-End Autonomous Parking with Gaussian Splatting Simulator for Real2Sim2Real Transfer
May 9, 2026Changze Li, Zhe Chen, Shaoyu Chen +7Autonomous Driving Simulation Autonomous Driving
Exploring and Exploiting Stability in Latent Flow Matching
May 8, 2026Rania Briq, Michael Kamp, Ohad Fried +2Generative Flow Networks Generative Models
CA-SQL: Complexity-Aware Inference Time Reasoning for Text-to-SQL via Exploration and Compute Budget Allocation
May 8, 2026James Petullo, Nianwen XueText-To-Sql Sql
Flatness and Gradient Alignment Are Both Necessary: Spectral-Aware Gradient-Aligned Exploration for Multi-Distribution Learning
May 8, 2026Aristotelis Ballas, Christos DiouDistributional Learning Loss Landscape
Model-Driven Policy Optimization in Differentiable Simulators via Stochastic Exploration
May 8, 2026Yuval Aroosh, Ayal TaitlerMulti-Objective Policy Optimization Efficient Exploration
HTPO: Towards Exploration-Exploitation Balanced Policy Optimization via Hierarchical Token-level Objective Control
May 8, 2026Xincheng Yao, Ruoqi Li, Cheng Chen +4Reinforcement Learning With Verifiable Reward Large Language Model Reasoning
LaTER: Efficient Test-Time Reasoning via Latent Exploration and Explicit Verification
May 8, 2026Xuan Li, Yining Wang, Yuchen Liu +7Efficient Latent Reasoning Chain-of-Thought Reasoning
Palm-sized Omnidirectional Vision-Based UAV Exploration with Sparse Topological Map Guidance
May 8, 2026Zirui Wang, Xinjia Luo, Haotian Sun +3Autonomous Exploration Strategies Topological Data Analysis
PropGuard: Safeguarding LLM-MAS via Propagation-Aware Exploration and Remediation
May 8, 2026Bingyu Yan, Xiaoming Zhang, Jinyu Hou +4Multi-Agent Systems Remediation
Decentralized Diffusion Policy Learning for Enhanced Exploration in Cooperative Multi-agent Reinforcement Learning
May 8, 2026Yuyang Zhang, Haldun Balim, Na LiMulti-Agent Reinforcement Learning Diffusion Policies
Nonsense Helps: Prompt Space Perturbation Broadens Reasoning Exploration
May 7, 2026Langlin Huang, Chengsong Huang, Jinyuan Li +3Large Language Model Reasoning Reinforcement Learning With Verifiable Reward
S-LCG: Structured Linear Congruential Generator-Based Deterministic Algorithm for Search and Optimization
May 6, 2026Ahmed Qasim Mohammed, Haider Banka, Anamika SinghRandom Exploration-Exploitation Dilemma
Data-dependent Exploration for Online Reinforcement Learning from Human Feedback
May 6, 2026Zhen-Yu Zhang, Yuting Tang, Jiandong Zhang +2Reinforcement Learning From Human Feedback Exploration-Exploitation Dilemma
What You Think is What You See: Driving Exploration in VLM Agents via Visual-Linguistic Curiosity
May 5, 2026Haoxi Li, Qinglin Hou, Jianfei Ma +6Visual Reasoning Autonomous Exploration Strategies
Tempered Guided Diffusion
May 5, 2026Andreas Makris, Paul Fearnhead, Chris NemethDiffusion Sampling Diffusion Priors
FlexSQL: Flexible Exploration and Execution Make Better Text-to-SQL Agents
May 4, 2026Quang Hieu Pham, Yang He, Ping Nie +5Text-To-Sql Sql
T $^2$ PO: Uncertainty-Guided Exploration Control for Stable Multi-Turn Agentic Reinforcement Learning
May 4, 2026Haixin Wang, Hejie Cui, Chenwei Zhang +7Multi-Objective Policy Optimization Efficient Exploration
Quality-Aware Exploration Budget Allocation for Cooperative Multi-Agent Reinforcement Learning
May 3, 2026Dahyun Oh, Minhyuk Yoon, H. Jin KimMulti-Agent Reinforcement Learning Exploration-Exploitation Dilemma
A Systematic Exploration of Text Decomposition and Budget Distribution in Differentially Private Text Obfuscation
May 1, 2026Stephen Meisenbacher, Angelo Kleinert, Florian MatthesDifferential Privacy Obfuscation
NonZero: Interaction-Guided Exploration for Multi-Agent Monte Carlo Tree Search
May 1, 2026Sizhe Tang, Zuyuan Zhang, Mahdi Imani +1Monte Carlo Tree Search Autonomous Exploration Strategies
Exploration Hacking: Can LLMs Learn to Resist RL Training?
Apr 30, 2026Eyon Jang, Damon Falck, Joschka Braun +6Large Language Model Performance Hacking
Global Optimality for Constrained Exploration via Penalty Regularization
Apr 30, 2026Florian Wolf, Ilyas Fatkhullin, Niao HePolicy Gradient Efficient Exploration
Can Tabular Foundation Models Guide Exploration in Robot Policy Learning?
Apr 30, 2026Buqing Ou, Frederike DümbgenRobot Policies Tabular Foundation Models
SCOPE-FE: Structured Control of Operator and Pairwise Exploration for Feature Engineering
Apr 29, 2026Minhee Park, Seongyeon Son, Yonghyun Lee +1Feature Engineering Tabular Learning
Dyna-Style Safety Augmented Reinforcement Learning: Staying Safe in the Face of Uncertainty
Apr 28, 2026Artur Eisele, Bernd Frauenknecht, Friedrich Solowjow +1Safety Filters Autonomous Exploration Strategies
Safe-Support Q-Learning: Learning without Unsafe Exploration
Apr 28, 2026Yeeun Lim, Narim Jeong, Donghwan LeeQ-Learning Safety Constraints
Feasible-First Exploration for Constrained ML Deployment Optimization in Crash-Prone Hierarchical Search Spaces
Apr 27, 2026Christian LysenstøenHyperparameter Optimization Efficient Exploration
A Reward-Free Viewpoint on Multi-Objective Reinforcement Learning
Apr 27, 2026Ying-Tu Chen, Wei Hung, Bing-Shu Wu +2Constrained Reinforcement Learning Efficient Exploration
MIRAGE: A Micro-Interaction Relational Architecture for Grounded Exploration in Multi-Figure Artworks
Apr 26, 2026Jui-Cheng Chiu, Yu-Chao Wang, Shengyang Luo +4Explicit Visual Grounding Visual Storytelling
Decentralized Heterogeneous Multi-Robot Collaborative Exploration for Indoor and Outdoor 3D Environments
Apr 26, 2026Yuxiang Li, Kun Chen, Jiancheng Wang +3Multi-Robot Systems Collaborative Perception
CAPSULE: Control-Theoretic Action Perturbations for Safe Uncertainty-Aware Reinforcement Learning
Apr 26, 2026Rahul Narava, Siddharth Verma, Ojas Jain +2Safety Constraints Deep Reinforcement Learning
An Efficient Beam Search Algorithm for Active Perception in Mobile Robotics
Apr 25, 2026Kaixian Qu, Han Wang, Victor Klemm +2Viewpoint-Dependent Active Perception Active Perception
QDTraj: Exploration of Diverse Trajectory Primitives for Articulated Objects Robotic Manipulation
Apr 24, 2026Mathilde Kappel, Mahdi Khoramshahi, Louis Annabi +2Robot Trajectories Robot Systems
Fairness under uncertainty in sequential decisions
Apr 23, 2026Michelle Seng Ah Lee, Kirtan Padh, David Watson +2Sequential Decision Making Counterfactual Reasoning
A Deployable Embodied Vision-Language Navigation System with Hierarchical Cognition and Context-Aware Exploration
Apr 23, 2026Kuan Xu, Ruimeng Liu, Yizhuo Yang +5Vision-Language Navigation Embodied Agents

May 18, 2026 · cs.CLJ/K move · Enter open · S save

A Pilot Benchmark for NL-to-FOL Translation in Planetary Exploration

Hayden Moore, Suman Saha, Mahfuza Farooque

Department of Computer Science and Engineering, College of Engineering, The Pennsylvania State University, University Park, Pennsylvania 16802, USA

Future planetary exploration envisions autonomous robotic agents operating under severe communication constraints, without global positioning, and with minimal human intervention. In such environments, agents must not only perceive and act, but also reason over mission objectives, operational constraints, and evolving environmental conditions. While prior work has largely focused on perception and control, the translation of high-level mission knowledge into structured, machine-interpretable representations remains underexplored. We introduce a pilot benchmark for translating natural language (NL) into First-Order Logic (FOL) within the domain of planetary exploration. The dataset is constructed from real mission documentation sourced from NASA's Planetary Data System (PDS), spanning missions from 2003 to 2013. These documents describe mission phases such as launch, boost, coast, cruise, and orbital operations in rich natural language. We manually annotate these documents with corresponding FOL representations that capture temporal structure, agent roles, and operational dependencies. In addition, we provide structured predicate vocabularies and typed constants to enable controlled experimentation with varying levels of prior knowledge. This pilot benchmark provides a foundation for research at the intersection of language understanding and formal reasoning, grounded in real-world, safety-critical mission data. The dataset is provided at: https://github.com/HaydenMM/planetary-logic-benchmark/blob/main/pilot_benchmark.json

Planetary Exploration Natural Language Queries Knowledge-Grounded Reasoning Pilot Modal Logic Autonomous Exploration Strategies

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