Curiosity-Driven Exploration

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Period ending 2026-09-14

9 new papers

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Safe Exploration for Nonlinear Processes Using Online Gaussian Process Learning
May 10, 2026Stefano Tonini, Soroush Rastegarpour, Hamid Reza Feyzmahdavian +2Robust Control Lyapunov Function
Learning to Explore: Scaling Agentic Reasoning via Exploration-Aware Policy Optimization
May 9, 2026Xingyuan Hua, Sheng Yue, Ju RenAgentic Reinforcement Learning Agentic Reasoning
How You Begin is How You Reason: Driving Exploration in RLVR via Prefix-Tuned Priors
May 9, 2026Yifan Xu, Junren Chen, Yifan ChenVerifiable Rewards LLM Reasoning Methods
Exploring and Exploiting Stability in Latent Flow Matching
May 8, 2026Rania Briq, Michael Kamp, Ohad Fried +2Generative Models Capacity
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 Gradient
Palm-sized Omnidirectional Vision-Based UAV Exploration with Sparse Topological Map Guidance
May 8, 2026Zirui Wang, Xinjia Luo, Haotian Sun +3Unmanned Aerial Vehicles 3D Mapping
Divination by Prompt: LLM-Mediated Xuanxue on Chinese Social Media
May 8, 2026Chuang Li, Lixuan Wang, Yuqi Chen +1Chatbots Social Media Texts
Improved Model-based Reinforcement Learning with Smooth Kernels
May 8, 2026Kun Long, Yuqiang Li, Xianyi WuMarkov Decision Processes Smoothing
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
Measuring Learning Progress via Gradient-Momentum Coupling
May 7, 2026Samuel Blad, Martin Längkvist, Amy LoutfiCurriculum Curiosity-Driven Exploration
Nonsense Helps: Prompt Space Perturbation Broadens Reasoning Exploration
May 7, 2026Langlin Huang, Chengsong Huang, Jinyuan Li +3LLM Reasoning Methods Reasoning Paths
Data-dependent Exploration for Online Reinforcement Learning from Human Feedback
May 6, 2026Zhen-Yu Zhang, Yuting Tang, Jiandong Zhang +2Reinforcement Learning From Human Feedback Dynamic Regret Bounds
What You Think is What You See: Driving Exploration in VLM Agents via Visual-Linguistic Curiosity
May 5, 2026Haoxi Li, Qinglin Hou, Jianfei Ma +6Curiosity-Driven Exploration Visual Representations
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 LearningT^2PO: Uncertainty-Guided Exploration Control for Stable Multi-Turn Agentic Reinforcement Learning
May 4, 2026Haixin Wang, Hejie Cui, Chenwei Zhang +7Relative 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 Curiosity-Driven Exploration
Exploration Hacking: Can LLMs Learn to Resist RL Training?
Apr 30, 2026Eyon Jang, Damon Falck, Joschka Braun +6Safe Reinforcement Learning Exploitation
Global Optimality for Constrained Exploration via Penalty Regularization
Apr 30, 2026Florian Wolf, Ilyas Fatkhullin, Niao HePolicy Gradient Stochastic Exploration
Can Tabular Foundation Models Guide Exploration in Robot Policy Learning?
Apr 30, 2026Buqing Ou, Frederike DümbgenRobot Policies Tabular Foundation Models
Dyna-Style Safety Augmented Reinforcement Learning: Staying Safe in the Face of Uncertainty
Apr 28, 2026Artur Eisele, Bernd Frauenknecht, Friedrich Solowjow +1Safety Filters Curiosity-Driven Exploration
Safe-Support Q-Learning: Learning without Unsafe Exploration
Apr 28, 2026Yeeun Lim, Narim Jeong, Donghwan LeeQ-Learning Safety Constraints
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 Indoor Environments
CAPSULE: Control-Theoretic Action Perturbations for Safe Uncertainty-Aware Reinforcement Learning
Apr 26, 2026Rahul Narava, Siddharth Verma, Ojas Jain +2Safety Constraints Robust Control
QDTraj: Exploration of Diverse Trajectory Primitives for Articulated Objects Robotic Manipulation
Apr 24, 2026Mathilde Kappel, Mahdi Khoramshahi, Louis Annabi +2Robot Trajectories Real-World Mobile Manipulation Tasks
A Deployable Embodied Vision-Language Navigation System with Hierarchical Cognition and Context-Aware Exploration
Apr 23, 2026Kuan Xu, Ruimeng Liu, Yizhuo Yang +5Vision-And-Language Navigation Embodied Artificial Intelligence
Measure Twice, Click Once: Co-evolving Proposer and Visual Critic via Reinforcement Learning for GUI Grounding
Apr 23, 2026Wenkai Wang, Xiyun Li, Hongcan Guo +5Graphical User Interface Option-Critic Framework
SAKE: Self-aware Knowledge Exploitation-Exploration for Grounded Multimodal Named Entity Recognition
Apr 22, 2026Jielong Tang, Xujie Yuan, Jiayang Liu +6Named-Entity Recognition Knowledge Graph Embeddings
Replicable Bandits with UCB based Exploration
Apr 21, 2026Rohan Deb, Udaya Ghai, Karan Singh +1Generalized Linear Bandit Bandits
Explore Like Humans: Autonomous Exploration with Online SG-Memo Construction for Embodied Agents
Apr 21, 2026Xu Chen, Shichao Xie, Zhining Gu +7Embodied Navigation Cognitive Map
Optimal Exploration of New Products under Assortment Decisions
Apr 20, 2026Jackie Baek, Atanas Dinev, Thodoris LykourisGeneralized Linear Bandit Products
OGER: A Robust Offline-Guided Exploration Reward for Hybrid Reinforcement Learning
Apr 20, 2026Xinyu Ma, Mingzhou Xu, Xuebo Liu +4Stochastic Exploration LLM Reasoning Methods
Training LLM Agents for Spontaneous, Reward-Free Self-Evolution via World Knowledge Exploration
Apr 20, 2026Qifan Zhang, Dongyang Ma, Tianqing Fang +5Self-Evolving Agents Self-Evolution
HEALing Entropy Collapse: Enhancing Exploration in Few-Shot RLVR via Hybrid-Domain Entropy Dynamics Alignment
Apr 20, 2026Zhanyu Liu, Qingguo Hu, Ante Wang +5Verifiable Rewards Curiosity-Driven Exploration
Poly-EPO: Training Exploratory Reasoning Models
Apr 19, 2026Ifdita Hasan Orney, Jubayer Ibn Hamid, Shreya S Ramanujam +5Stochastic Exploration Reasoning Benchmark
Agents Explore but Agents Ignore: LLMs Lack Environmental Curiosity
Apr 19, 2026Leon Engländer, Sophia Althammer, Ahmet Üstün +2Agentic Control Agent2Agent
DORA Explorer: Improving the Exploration Ability of LLMs Without Training
Apr 19, 2026Priya Gurjar, Md Farhan Ishmam, Kenneth MarinoEfficient Exploration Curiosity-Driven Exploration
SPS: Steering Probability Squeezing for Better Exploration in Reinforcement Learning for Large Language Models
Apr 18, 2026Yifu Huo, Chenglong Wang, Ziming Zhu +9Stochastic Exploration Curiosity-Driven Exploration
Active World-Model with 4D-informed Retrieval for Exploration and Awareness
Apr 17, 2026Elaheh Vaezpour, Amirhosein Javadi, Tara JavidiCuriosity-Driven Exploration World Models
LACE: Lattice Attention for Cross-thread Exploration
Apr 16, 2026Yang Li, Zirui Zhang, Yang Liu +1LLM Reasoning Methods Parallel Decoding and Training
Trajectory Planning for Safe Dual Control with Active Exploration
Apr 16, 2026Kaleb Ben Naveed, Manveer Singh, Devansh R. Agrawal +1Classical Planning Curiosity-Driven Exploration
Diffusion Crossover: Defining Evolutionary Recombination in Diffusion Models via Noise Sequence Interpolation
Apr 16, 2026Chisato Kumada, Satoru Hiwa, Tomoyuki HiroyasuDiffusion Models Evolutionary Algorithms
Targeted Exploration via Unified Entropy Control for Reinforcement Learning
Apr 16, 2026Chen Wang, Lai Wei, Yanzhi Zhang +5LLM Reasoning Methods Reasoning Trajectory
MARS $^2$ : Scaling Multi-Agent Tree Search via Reinforcement Learning for Code GenerationMARS^2: Scaling Multi-Agent Tree Search via Reinforcement Learning for Code Generation
Apr 16, 2026Pengfei Li, Shijie Wang, Fangyuan Li +7Multi-Agent Reinforcement Learning Tree Search
Resilient Decentralized Ergodic Coverage for Scalable Multi-Robot Systems in Unknown Time-Varying Environments
Apr 5, 2026Maria G. Mendoza, Victoria Marie Tuck, Chinmay Maheshwari +1Optimal Ergodic Coverage Multi-Robot Systems
ExploreVLA: Dense World Modeling and Exploration for End-to-End Autonomous Driving
Apr 3, 2026Zihao Sheng, Xin Ye, Jingru Luo +2Autonomous Driving Imitation Learning
Exploration of Fast-Slow Latent Recurrence for Train-Short, Test-Long Generalization
Apr 2, 2026Shota Takashiro, Masanori Koyama, Takeru Miyato +3Sequence Modeling Curiosity-Driven Exploration
Visual Prompt Discovery via Semantic Exploration
Mar 17, 2026Jaechang Kim, Yotaro Shimose, Zhao Wang +3Visual In-Context Learning Visual Reasoning
Joint 3D Gravity and Magnetic Inversion via Rectified Flow and Ginzburg-Landau Guidance
Mar 6, 2026Dhruman Gupta, Yashas Shende, Aritra Das +2Subsurface Scattering Ill-Posed Inverse Problem
Conformal Policy Control
Mar 2, 2026Drew Prinster, Clara Fannjiang, Ji Won Park +4Conformal Risk Control Safety Constraints
Entropy-Preserving Supervised Fine-Tuning via Adaptive Self-Distillation for Large Reasoning Models
Feb 2, 2026Hao Wang, Hao Gu, Hongming Piao +6Supervised Fine-Tuning Large Reasoning Models
From Local Windows to Adaptive Candidates via Individualized Exploratory: Rethinking Attention for Image Super-Resolution
Jan 13, 2026Chunyu Meng, Wei Long, Shuhang GuReal-World Image Super-Resolution Self-Supervised Vision Transformers
Deep Active Inference with Diffusion Policy and Multiple Timescale World Model for Real-World Exploration and Navigation
Oct 27, 2025Riko Yokozawa, Kentaro Fujii, Yuta Nomura +1Robot Navigation Diffusion Policies
Representation-Based Exploration for Language Models: From Test-Time to Post-Training
Oct 13, 2025Jens Tuyls, Dylan J. Foster, Akshay Krishnamurthy +1Reinforcement Learning Post-Training Post-Training
BaNEL: Exploration Posteriors for Generative Modeling Using Only Negative Rewards
Oct 10, 2025Sangyun Lee, Brandon Amos, Giulia FantiGenerative Models Posterior
BuilderBench: The Building Blocks of Intelligent Agents
Oct 7, 2025Raj Ghugare, Roger Creus Castanyer, Catherine Ji +4Building Blocks Curiosity-Driven Exploration

May 10, 2026 · eess.SYJ/K move · Enter open · S save

Safe Exploration for Nonlinear Processes Using Online Gaussian Process Learning

Stefano Tonini, Soroush Rastegarpour, Hamid Reza Feyzmahdavian, Nicola Bastianello+1

ABB Corporate Research, Väster˚as, Sweden · KTH Royal Institute of Technology, Stockholm, Sweden

This paper proposes a safe data-driven control framework for nonlinear systems with partially known dynamics. The method ensures stability and constraint satisfaction during online learning, assuming only a stabilizable linear approximation of the process is available. Unmodeled nonlinear dynamics are captured by a Gaussian process residual learned in real time. Safety is enforced through a probabilistic control-invariant set derived from Lyapunov theory, guaranteeing high-probability stability. A convex quadratic program computes control inputs that maximize information gain while respecting probabilistic safety constraints. The framework provides finite-sample safety guarantees and allows adaptive expansion of the invariant set as uncertainty decreases. Numerical results validate the approach, demonstrating safe and informative exploration under model uncertainty: the safe set expands by about 30% while the Gaussian process root-mean-square error drops from 1.11 to 0.03.

Robust Control Lyapunov Function Safety Constraints Gaussian Process Nonlinear Dynamics Convex Optimization Curiosity-Driven Exploration

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