Efficient Exploration

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6 papers in the last 28 days · 0.2% of indexed attention

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Period ending 2026-09-14

3 new papers

A weekly snapshot of new work published in Efficient Exploration.

Period ending 2026-09-07

2 new papers

A weekly snapshot of new work published in Efficient Exploration.

41 papers

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Application of curiosity driven exploration methods for hardware interference identification
Sep 8, 2026Ludovic Matar, Clement Moulin-Frier, Pierre-Yves OudeyerInterference Efficient Exploration
EvoNav-Bench: Benchmarking Lifelong Navigation in Evolving Environments
Sep 8, 2026Xilin Wang, Guoxi Zhang, Hongming Xu +3Navigation Self-Evolving Agents
Efficient Exploration Is Enough
Sep 7, 2026Mikel Malagón, Jon Vadillo, Josu Ceberio +2Efficient Exploration Reward Learning
HitMem: Hierarchical Temporal 3D Memory with Multi-Modal Context-Aware Retrieval for Dynamic Environments
Sep 1, 2026Ruijie Tang, Chenye Zou, Guoquan Wu +3Temporal Memory Dynamic Environments
Connectivity-Aware Graph Extension for Decentralized Multi-Robot Exploration
Sep 1, 2026Béatrice Garcia Cegarra, Elena Vanneaux, Quentin Picard +1Multi-Drone Coordination Multi-Robot Systems
CIG-RL: Curiosity-Driven Information-Guided Reinforcement Learning for Source Term Estimation in Uncertain Environments
Aug 31, 2026Junhee Lee, Seunghwan Kim, Hongro Jang +4Efficient Exploration Uncertainty-Aware Teachers
Reward Structure Shapes the Interaction Between Episodic Exploration and Neural Memory in Reinforcement Learning
Aug 5, 2026Jai Malegaonkar, Rohan Patil, Henrik I. ChristensenEfficient Exploration Stochastic Exploration
Characterizing Bias in Post-Bandit Inference under Index Algorithms
Aug 2, 2026Lisu Wang, Yilun Chen, Jiaqi LuGeneralized Linear Bandit Lightweight Tabular Contextual Bandit
SEE: Structure-aware Exploring \& Exploiting for Long-horizon GUI Agent Trajectory Synthesis
Jul 20, 2026Zhuohang Fan, Beichen Zhang, Yuanfa Li +4Graphical User Interface Agents Graphical User Interface
Group Entropy-Controlled Policy Optimization
Jul 18, 2026Guangran Cheng, Chengqi Lyu, Songyang Gao +2Repair-Based Group-Relative Policy Optimization Policy Optimization
Process Reward Informed Tree Rollout for Effective Multi-Turn RL
Jul 17, 2026Xintong Li, Sha Li, Yuwei Zhang +8Reinforcement Learning Rollouts Rollout
Directional Constraints for Efficient Exploration in Safe Reinforcement Learning
Jul 14, 2026Paolo Magliano, Puze Liu, Jan Peters +2Safety Constraints Safe Reinforcement Learning
Empowering GUI Agents via Autonomous Experience Exploration and Hindsight Experience Utilization for Task Planning
Jun 25, 2026Tianyi Men, Zhuoran Jin, Pengfei Cao +3Large Language Model Planning Multimodal Agents
GraphPO: Graph-based Policy Optimization for Reasoning Models
Jun 17, 2026Yuliang Zhan, Xinyu Tang, Jian Li +7Reasoning Paths Verifiable Rewards
EvolveNav: Proactive Preflection and Self-Evolving Memory for Zero-Shot Object Goal Navigation
Jun 16, 2026Qi Chai, Wenhao Shen, Nanjie Yao +5Vision-And-Language Navigation Perception-Action Loop
ED3R: Energy-Aware Distributed Disaster Detection Enabled by Cooperative Robotic Agents
Jun 16, 2026Lina Magoula, Nikolaos Koursioumpas, Nancy Alonistioti +1Wildfire Detection Multi-Robot Systems
Infant Spontaneous Movement Noise Improves Exploration in Deep RL
Jun 15, 2026Francisco M. López, Markus R. Ernst, Francisco Cruz +2Efficient Exploration Curiosity-Driven Exploration
VANDERER: Map-Free Exploration using Future-Aware and Visual-Curiosity-Guided Diffusion Policy
Jun 12, 2026Venkata Naren Devarakonda, Raktim Gautam Goswami, Prashanth Krishnamurthy +1Efficient Exploration Curiosity-Driven Exploration
MeEvo: Metacognitive Evolution Combined with Natural Evolution for Automatic Heuristic Design
Jun 12, 2026Zishang Qiu, Xinan Chen, Rong Qu +1Evolutionary Search Llm-Driven
Retry Policy Gradients in Continuous Action Spaces
Jun 4, 2026Soichiro Nishimori, Paavo ParmasSoft Actor-Critic High-Dimensional Action Spaces
Constraint-Enhanced Physical Search through Correlation Matching
Jun 2, 2026Song-Ju KimEfficient Exploration Spatio-Temporal Correlations
ThoughtFold: Folding Reasoning Chains via Introspective Preference Learning
Jun 2, 2026Ziyan Liu, Xueda Shen, Yuzhe Gu +7Large Reasoning Models Chain-Of-Thought
Efficient Exploration for Iterative Nash Preference Optimization
May 31, 2026Tianlong Nan, Xiaopeng Li, Christian Kroer +1Reinforcement Learning From Human Feedback Exploration-Exploitation Dilemma
Uncertainty-Aware and Temporally Regulated Expert Advice in Reinforcement Learning for Autonomous Driving
May 28, 2026Ahmed Abouelazm, Felix Klingebiel, Philip Schörner +1Autonomous Driving Efficient Exploration
Long Live the Librarian! A Persistent Search Sub-Agent for Energy-Efficient Multi-Agent Software Engineering Systems
May 27, 2026Seunghyuk Cho, Sunghyun Choi, Jaeseung Heo +4Agentic Search Efficient Exploration
On the Benefits of Free Exploration for Regret Minimization in Multi-Armed Bandits
May 25, 2026Yunlong Hou, Zixin Zhong, Vincent Y. F. TanGeneralized Linear Bandit Efficient Exploration
Test-Time Deep Thinking to Explore Implicit Rules
May 24, 2026Wentong Chen, Xin Cong, Zhong Zhang +8Agentic Reasoning Reasoning Trajectory
Mind the Gaps: Multi-Robot Feedback-Driven Ergodic Coverage in Unknown Environments
May 20, 2026Thales Costa Silva, Nora AyanianOptimal Ergodic Coverage Multi-Robot Systems
Sampling-Based Safe Reinforcement Learning
May 19, 2026Luca Vignola, Bruce D. Lee, Manish Prajapat +4Safety Constraints Safe Reinforcement Learning
Look Before You Leap: Autonomous Exploration for LLM Agents
May 15, 2026Ziang Ye, Wentao Shi, Yuxin Liu +6Efficient Exploration Large Language Model Agents
Learning from Acceptance: Cumulative Regret in the Game of Coding
May 10, 2026Hanzaleh Akbari Nodehi, Parsa Moradi, Mohammad Ali Maddah-AliInformation-Theoretic Limits Adaptive Adversary
REAP: Reinforcement-Learning End-to-End Autonomous Parking with Gaussian Splatting Simulator for Real2Sim2Real Transfer
May 9, 2026Changze Li, Zhe Chen, Shaoyu Chen +7Autonomous Parking Autonomous Driving Simulation
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
Feasible-First Exploration for Constrained ML Deployment Optimization in Crash-Prone Hierarchical Search Spaces
Apr 27, 2026Christian LysenstøenHyperparameter Black-Box Optimization
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
An Efficient Beam Search Algorithm for Active Perception in Mobile Robotics
Apr 25, 2026Kaixian Qu, Han Wang, Victor Klemm +2Active Perception Conflict-Based Search
DORA Explorer: Improving the Exploration Ability of LLMs Without Training
Apr 19, 2026Priya Gurjar, Md Farhan Ishmam, Kenneth MarinoEfficient Exploration Curiosity-Driven Exploration
Live LTL Progress Tracking: Towards Task-Based Exploration
Apr 18, 2026Noel Brindise, Cedric Langbort, Melkior OrnikLinear Temporal Logics Safe Reinforcement Learning
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
Self-Supervised Goal-Reaching Results in Multi-Agent Cooperation and Exploration
Sep 12, 2025Chirayu Nimonkar, Shlok Shah, Catherine Ji +1Multi-Agent Coordination Self-Improving Agents
Training on Irrelevant States Implies Data Augmentation: Generalization in Contextual MDPs
Oct 4, 2024Max Weltevrede, Caroline Horsch, Matthijs T. J. Spaan +1Efficient Exploration Markov Decision Processes

Sep 8, 2026 · cs.AIJ/K move · Enter open · S save

Application of curiosity driven exploration methods for hardware interference identification

Ludovic Matar, Clement Moulin-Frier, Pierre-Yves Oudeyer

The transition from single-core to multi-core architectures in safety-critical embedded systems introduces significant challenges due to inter-core interference caused by contention for shared hardware resources. Such interference affects execution times and complicates the verification of strict temporal requirements, particularly in domains such as avionics where standards require comprehensive identification of interference sources. Existing interference analysis approaches, whether manual or model-based, struggle to capture the full range of behaviors arising from the complex interactions among micro-architectural components. In this paper, we frame multi-core interference analysis as the exploration of a complex system behavior space. We propose the use of curiosity-driven exploration algorithms from artificial intelligence to systematically and efficiently cover the space of possible interference behaviors. Using a simulator-based environment, we show that the proposed approach achieves broader and more uniform behavioral coverage within a limited experimental budget compared to traditional pseudo-random program generation methods.

Interference Efficient Exploration Stochastic Exploration Curiosity-Driven Exploration Random

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