exploration strategy

DyBBT: Dynamic Balance via Bandit-inspired Targeting for Dialog Policy with Cognitive Dual Systems ACL 2026 Enhancing Exploration and Exploitation in Hierarchical Reinforcement Learning with Subgoal Graph Learning AAAI 2026 Loss-Guided Auxiliary Agents for Overcoming Mode Collapse in GFlowNets AAAI 2026 Predict Before You Explore: Predictive Planning with Specialized Memory for Embodied Question Answering CVPR 2026 Active Perception Meets Rule-Guided RL: A Two-Phase Approach for Precise Object Navigation in Complex Environments ICCV 2025 Beyond the Destination: A Novel Benchmark for Exploration-Aware Embodied Question Answering ICCV 2025 DiffExp: Efficient Exploration in Reward Fine-tuning for Text-to-Image Diffusion Models AAAI 2025 Entropy-based Exploration Conduction for Multi-step Reasoning ACL 2025 Explorer: Scaling Exploration-driven Web Trajectory Synthesis for Multimodal Web Agents ACL 2025 Mission-driven Exploration for Accelerated Deep Reinforcement Learning with Temporal Logic Task Specifications L4DC 2025 MrSteve: Instruction-Following Agents in Minecraft with What-Where-When Memory ICLR 2025 User Feedback Alignment for LLM-powered Exploration in Large-scale Recommendation Systems ACL 2025 Beyond Optimism: Exploration With Partially Observable Rewards NeurIPS 2024 Colored Noise in PPO: Improved Exploration and Performance through Correlated Action Sampling AAAI 2024 Exploration by Learning Diverse Skills through Successor State Representations NeurIPS 2024 Fair Classification with Partial Feedback: An Exploration-Based Data Collection Approach ICML 2024 First-Explore, then Exploit: Meta-Learning to Solve Hard Exploration-Exploitation Trade-Offs NeurIPS 2024 FoX: Formation-Aware Exploration in Multi-Agent Reinforcement Learning AAAI 2024 Imagine, Initialize, and Explore: An Effective Exploration Method in Multi-Agent Reinforcement Learning AAAI 2024 Leveraging Separated World Model for Exploration in Visually Distracted Environments NeurIPS 2024 Measuring Mutual Policy Divergence for Multi-Agent Sequential Exploration NeurIPS 2024 On Weak Regret Analysis for Dueling Bandits NeurIPS 2024 OVD-Explorer: Optimism Should Not Be the Sole Pursuit of Exploration in Noisy Environments AAAI 2024 Randomized Exploration for Reinforcement Learning with Multinomial Logistic Function Approximation NeurIPS 2024 Robust exploration with adversary via Langevin Monte Carlo L4DC 2024