Skip to content
conftrace_

Exploration-Exploitation

203 papers

3
6
16
18
'10
'15
'20
'25

Papers

Adaptive Policy Selection and Fine-Tuning under Interaction Budgets for Offline-to-Online Reinforcement Learning L4DC 2026 Best Arm Identification with Minimal Regret JMLR 2026 CHEEM: Continual Learning by Reuse, New, Adapt and Skip - A Hierarchical Exploration-Exploitation Approach CVPR 2026 Cognitively Inspired Developmental Trajectories Improve Explore-Exploit Dynamics in Neural Agent Emergent Communication CoNLL 2026 FROST: Factual Reasoning via Optimized Stochastic Trajectories in Large Language Models during Inference ACL 2026 Neural Exploitation and Exploration of Contextual Bandits JMLR 2026 Taming the Monster Every Context: Complexity Measure and Unified Framework for Offline-Oracle Efficient Contextual Bandits COLT 2026 The Price of Knowledge: Optimal Algorithms for Costly Bandits UAI 2026 Adaptive Threshold Sampling for Pure Exploration in Submodular Bandits UAI 2025 BAMDP Shaping: a Unified Framework for Intrinsic Motivation and Reward Shaping ICLR 2025 Batch Ensemble for Variance Dependent Regret in Stochastic Bandits AAAI 2025 Bayesian Optimization for Unknown Cost-Varying Variable Subsets with No-Regret Costs AAAI 2025 Cost-Aware Optimal Pairwise Pure Exploration AISTATS 2025 Exploring Exploration in Bayesian Optimization UAI 2025 HR-Bandit: Human-AI Collaborated Linear Recourse Bandit AISTATS 2025 MaxInfoRL: Boosting exploration in reinforcement learning through information gain maximization ICLR 2025 Multi-armed Bandits with Missing Outcomes UAI 2025 Non-stochastic Budgeted Online Pricing with Semi-Bandit Feedback AAAI 2025 Optimal Multi-Objective Best Arm Identification with Fixed Confidence AISTATS 2025 p-Mean Regret for Stochastic Bandits AAAI 2025 Reward Maximization for Pure Exploration: Minimax Optimal Good Arm Identification for Nonparametric Multi-Armed Bandits AISTATS 2025 Risk-Averse Best Arm Set Identification with Fixed Budget and Fixed Confidence ACML 2025 Towards Cost Sensitive Decision Making AISTATS 2025 Trading Off Quality and Uncertainty Through Multi-Objective Optimisation in Batch Bayesian Optimisation AAAI 2025 User Feedback Alignment for LLM-powered Exploration in Large-scale Recommendation Systems ACL 2025