conftrace_

exploration exploitation

76 papers

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Co-occurring keywords

multi-armed bandit (1098) regret bound (1926) online learning (1777) reinforcement learning (4352) contextual bandit (381) stochastic optimization (1060) exploration-exploitation (9) thompson sampling (237) exploration-exploitation trade-off (31) bayesian optimization (624)

Papers

VEG: Verbal 𝜖-greedy for Semantic Exploration in Multi-Turn RL Agents ACL 2026
A Scalable Multi-LLM Collaboration System with Retrieval-based Selection and Exploration-Exploitation-Driven Enhancement ACL 2026
An Efficient Task-Oriented Dialogue Policy: Evolutionary Reinforcement Learning Injected by Elite Individuals ACL 2025
Provoking Multi-modal Few-Shot LVLM via Exploration-Exploitation In-Context Learning CVPR 2025
Autonomous Goal Detection and Cessation in Reinforcement Learning: A Case Study on Source Term Estimation AAAI 2025
Asymptotic Extinction in Large Coordination Games AAAI 2025
Active Reinforcement Learning Strategies for Offline Policy Improvement AAAI 2025
Batch Ensemble for Variance Dependent Regret in Stochastic Bandits AAAI 2025
Multiple Trade-offs: An Improved Approach for Lexicographic Linear Bandits AAAI 2025
Model-based Policy Optimization under Approximate Bayesian Inference AISTATS 2024
Dynamic Service Fee Pricing under Strategic Behavior: Actions as Instruments and Phase Transition NIPS 2024
Instance-aware Exploration-Verification-Exploitation for Instance ImageGoal Navigation CVPR 2024
Online Learning of Delayed Choices NIPS 2024
Two-Stage Evolutionary Reinforcement Learning for Enhancing Exploration and Exploitation AAAI 2024
Concurrent Constrained Optimization of Unknown Rewards for Multi-Robot Task Allocation RSS 2023
Surveillance Evasion Through Bayesian Reinforcement Learning AISTATS 2023
A Partially Observable Monte Carlo Planning Algorithm Based on Path Modification ACML 2023
Generalized Data Distribution Iteration ICML 2022
Planning to the Information Horizon of BAMDPs via Epistemic State Abstraction NIPS 2022
Expected Improvement for Contextual Bandits NIPS 2022
Bayesian Optimistic Optimization: Optimistic Exploration for Model-based Reinforcement Learning NIPS 2022
Achieving Fairness in the Stochastic Multi-Armed Bandit Problem JMLR 2021
An Efficient Algorithm For Generalized Linear Bandit: Online Stochastic Gradient Descent and Thompson Sampling AISTATS 2021
Deciding What to Learn: A Rate-Distortion Approach ICML 2021
Bandit Quickest Changepoint Detection NIPS 2021