Co-occurring keywords · papers mentioning both
Papers
A Scalable Multi-LLM Collaboration System with Retrieval-based Selection and Exploration-Exploitation-Driven Enhancement
ACL 2026
Taming the Monster Every Context: Complexity Measure and Unified Framework for Offline-Oracle Efficient Contextual Bandits
COLT 2026
VEG: Verbal 𝜖-greedy for Semantic Exploration in Multi-Turn RL Agents
ACL 2026
Active Reinforcement Learning Strategies for Offline Policy Improvement
AAAI 2025
An Efficient Task-Oriented Dialogue Policy: Evolutionary Reinforcement Learning Injected by Elite Individuals
ACL 2025
A Safe Bayesian Learning Algorithm for Constrained MDPs with Bounded Constraint Violation
AISTATS 2025
Asymptotic Extinction in Large Coordination Games
AAAI 2025
Autonomous Goal Detection and Cessation in Reinforcement Learning: A Case Study on Source Term Estimation
AAAI 2025
Batch Ensemble for Variance Dependent Regret in Stochastic Bandits
AAAI 2025
Brain Bandit: A Biologically Grounded Neural Network for Efficient Control of Exploration
ICLR 2025
Highly Efficient Self-Adaptive Reward Shaping for Reinforcement Learning
ICLR 2025
HR-Bandit: Human-AI Collaborated Linear Recourse Bandit
AISTATS 2025
Multiple Trade-offs: An Improved Approach for Lexicographic Linear Bandits
AAAI 2025
Provoking Multi-modal Few-Shot LVLM via Exploration-Exploitation In-Context Learning
CVPR 2025
Dynamic Service Fee Pricing under Strategic Behavior: Actions as Instruments and Phase Transition
NeurIPS 2024
Instance-aware Exploration-Verification-Exploitation for Instance ImageGoal Navigation
CVPR 2024
Model-based Policy Optimization under Approximate Bayesian Inference
AISTATS 2024
Online Learning of Delayed Choices
NeurIPS 2024
Two-Stage Evolutionary Reinforcement Learning for Enhancing Exploration and Exploitation
AAAI 2024
A Partially Observable Monte Carlo Planning Algorithm Based on Path Modification
ACML 2023
Concurrent Constrained Optimization of Unknown Rewards for Multi-Robot Task Allocation
RSS 2023
Online Reinforcement Learning in Stochastic Continuous-Time Systems
COLT 2023
Surveillance Evasion Through Bayesian Reinforcement Learning
AISTATS 2023
Bayesian Optimistic Optimization: Optimistic Exploration for Model-based Reinforcement Learning
NeurIPS 2022
Expected Improvement for Contextual Bandits
NeurIPS 2022