sample efficiency

A Formal Theory of Optimal Learning with Experimental Results IJCAI 2025 Any-step Dynamics Model Improves Future Predictions for Online and Offline Reinforcement Learning ICLR 2025 Approximate Equivariance in Reinforcement Learning AISTATS 2025 AutoEval Done Right: Using Synthetic Data for Model Evaluation ICML 2025 Ax: A Platform for Adaptive Experimentation AutoML 2025 Babies Learn to Look Ahead: Multi-Token Prediction in Small LMs EMNLP 2025 Beyond-Expert Performance with Limited Demonstrations: Efficient Imitation Learning with Double Exploration ICLR 2025 Beyond Repetition: Text Simplification and Curriculum Learning for Data-Constrained Pretraining EMNLP 2025 Boosting Multi-Domain Fine-Tuning of Large Language Models through Evolving Interactions between Samples ICML 2025 Causal Information Prioritization for Efficient Reinforcement Learning ICLR 2025 Constrained Multi-objective Bayesian Optimization through Optimistic Constraints Estimation AISTATS 2025 Contrastive Representation for Interactive Recommendation AAAI 2025 CTD4 – a Deep Continuous Distributional Actor-Critic Agent with a Kalman Fusion of Multiple Critics AAAI 2025 Decoupled Policy Actor-Critic: Bridging Pessimism and Risk Awareness in Reinforcement Learning AAAI 2025 Deep Reinforcement Learning from Hierarchical Preference Design ICML 2025 De Novo Molecular and Crystal Design with Latent Space Bayesian Optimization AAAI 2025 DiffExp: Efficient Exploration in Reward Fine-tuning for Text-to-Image Diffusion Models AAAI 2025 DiWA: Diffusion Policy Adaptation with World Models CoRL 2025 Domain Randomization is Sample Efficient for Linear Quadratic Control L4DC 2025 Drama: Mamba-Enabled Model-Based Reinforcement Learning Is Sample and Parameter Efficient ICLR 2025 EDGE: Efficient Data Selection for LLM Agents via Guideline Effectiveness IJCAI 2025 Efficient and Accurate Explanation Estimation with Distribution Compression ICLR 2025 Efficient Diversity-based Experience Replay for Deep Reinforcement Learning IJCAI 2025 Efficient Model-Based Reinforcement Learning Through Optimistic Thompson Sampling ICLR 2025 Enhancing Question Generation through Diversity-Seeking Reinforcement Learning with Bilevel Policy Decomposition AAAI 2025