sample efficiency

Enhancing Rating-Based Reinforcement Learning to Effectively Leverage Feedback from Large Vision-Language Models ICML 2025 ERCI: An Explainable Experience Replay Approach with Causal Inference for Deep Reinforcement Learning AAAI 2025 Exploratory Preference Optimization: Harnessing Implicit Q*-Approximation for Sample-Efficient RLHF ICLR 2025 From Data to Knowledge: Evaluating How Efficiently Language Models Learn Facts ACL 2025 From Sparse Dependence to Sparse Attention: Unveiling How Chain-of-Thought Enhances Transformer Sample Efficiency ICLR 2025 Full Network Capacity Framework for Sample-Efficient Deep Reinforcement Learning UAI 2025 Hybrid Transfer Reinforcement Learning: Provable Sample Efficiency from Shifted-Dynamics Data AISTATS 2025 IMLE Policy: Fast and Sample Efficient Visuomotor Policy Learning via Implicit Maximum Likelihood Estimation RSS 2025 Improving the Scaling Laws of Synthetic Data with Deliberate Practice ICML 2025 Investigating Relational State Abstraction in Collaborative MARL AAAI 2025 Kernel Learning for Sample Constrained Black-Box Optimization AAAI 2025 Learning Extrapolative Sequence Transformations from Markov Chains ICML 2025 Linear Submodular Maximization with Bandit Feedback AISTATS 2025 Looking Backward: Retrospective Backward Synthesis for Goal-Conditioned GFlowNets ICLR 2025 MAD-TD: Model-Augmented Data stabilizes High Update Ratio RL ICLR 2025 MENTOR: Mixture-of-Experts Network with Task-Oriented Perturbation for Visual Reinforcement Learning ICML 2025 Merging and Disentangling Views in Visual Reinforcement Learning for Robotic Manipulation CoRL 2025 Mind the GAP: Glimpse-based Active Perception improves generalization and sample efficiency of visual reasoning ICLR 2025 Mission-driven Exploration for Accelerated Deep Reinforcement Learning with Temporal Logic Task Specifications L4DC 2025 Model Editing as a Robust and Denoised variant of DPO: A Case Study on Toxicity ICLR 2025 ModernBERT or DeBERTaV3? Examining Architecture and Data Influence on Transformer Encoder Models Performance IJCNLP 2025 Multi-Agent Credit Assignment with Pretrained Language Models AISTATS 2025 Novelty-Guided Data Reuse for Efficient and Diversified Multi-Agent Reinforcement Learning AAAI 2025 Null Counterfactual Factor Interactions for Goal-Conditioned Reinforcement Learning ICLR 2025 One Encoder to Rule them All: Representation Learning for Model-free Visual Reinforcement Learning using Fourier Neural Operators ICCV 2025