Meta-Learning

Learning to accelerate distributed ADMM using graph neural networks L4DC 2026 A Classification View on Meta Learning Bandits ICML 2025 A Dynamic Penalization Framework for Online Rank-1 Semidefinite Programming Relaxations L4DC 2025 A Reductions Approach to Risk-Sensitive Reinforcement Learning with Optimized Certainty Equivalents ICML 2025 Behavioral Exploration: Learning to Explore via In-Context Adaptation ICML 2025 Capability-Aware Shared Hypernetworks for Flexible Heterogeneous Multi-Robot Coordination CoRL 2025 CERTAIN: Context Uncertainty-aware One-Shot Adaptation for Context-based Offline Meta Reinforcement Learning ICML 2025 Disentangled Multi-Context Meta-Learning: Unlocking Robust and Generalized Task Learning CoRL 2025 Efficient Cross-Episode Meta-RL ICLR 2025 Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments ICML 2025 Few-Shot Neuro-Symbolic Imitation Learning for Long-Horizon Planning and Acting CoRL 2025 Learning Policy Committees for Effective Personalization in MDPs with Diverse Tasks ICML 2025 Learning Task Belief Similarity with Latent Dynamics for Meta-Reinforcement Learning ICLR 2025 MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces ICML 2025 Meta-Black-Box-Optimization through Offline Q-function Learning ICML 2025 Meta-Reinforcement Learning with Adaptation from Human Feedback via Preference-Order-Preserving Task Embedding ICML 2025 Online Learning with Unknown Constraints ICML 2025 Optimizing Test-Time Compute via Meta Reinforcement Finetuning ICML 2025 Personalized Dynamic Music Emotion Recognition with Dual-Scale Attention-Based Meta-Learning AAAI 2025 Preference Controllable Reinforcement Learning with Advanced Multi-Objective Optimization ICML 2025 Scrutinize What We Ignore: Reining In Task Representation Shift Of Context-Based Offline Meta Reinforcement Learning ICLR 2025 Task-Aware Virtual Training: Enhancing Generalization in Meta-Reinforcement Learning for Out-of-Distribution Tasks ICML 2025 The Ranking Trick: A Simple and Robust Alternative to Score-Based Regression for AutoML AutoML 2025 Training a Generally Curious Agent ICML 2025 A Hierarchical Adaptive Multi-Task Reinforcement Learning Framework for Multiplier Circuit Design ICML 2024