exploration-exploitation tradeoff

CE-GPPO: Coordinating Entropy via Gradient-Preserving Clipping Policy Optimization in Reinforcement Learning ACL 2026 Cognitively Inspired Developmental Trajectories Improve Explore-Exploit Dynamics in Neural Agent Emergent Communication CoNLL 2026 Efficient Contextual Bandit Learning via Reward-Space Sampling and Online Optimization (Student Abstract) AAAI 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 RebRL: Reinforcing Discrete Visual Diffusion Models with Rebalanced Timestep Credits CVPR 2026 ReLaX: Reasoning with Latent Exploration for Large Reasoning Models CVPR 2026 Should You Use Your Large Language Model to Explore or Exploit? UAI 2026 Taming Extreme Tokens: Covariance-Aware GRPO with Gaussian-Kernel Advantage Reweighting ACL 2026 Towards Effective Code-Integrated Reasoning AAAI 2026 Visual-RRT: Finding Paths toward Visual-Goals via Differentiable Rendering CVPR 2026 Active Geospatial Search for Efficient Tenant Eviction Outreach AAAI 2025 Asymptotic Extinction in Large Coordination Games AAAI 2025 B-STaR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners ICLR 2025 Exploring Exploration in Bayesian Optimization UAI 2025 LASeR: Towards Diversified and Generalizable Robot Design with Large Language Models ICLR 2025 MaxInfoRL: Boosting exploration in reinforcement learning through information gain maximization ICLR 2025 MBA-RAG: a Bandit Approach for Adaptive Retrieval-Augmented Generation through Question Complexity COLING 2025 Monte Carlo Tree Diffusion for System 2 Planning ICML 2025 Multiple Trade-offs: An Improved Approach for Lexicographic Linear Bandits AAAI 2025 Towards Cost Sensitive Decision Making AISTATS 2025 𝜙-Decoding: Adaptive Foresight Sampling for Balanced Inference-Time Exploration and Exploitation ACL 2025 Bayesian Optimisation with Unknown Hyperparameters: Regret Bounds Logarithmically Closer to Optimal NeurIPS 2024 Code Repair with LLMs gives an Exploration-Exploitation Tradeoff NeurIPS 2024 Distributionally Robust Reinforcement Learning with Interactive Data Collection: Fundamental Hardness and Near-Optimal Algorithms NeurIPS 2024