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Meta Reinforcement Learning

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Showing 51–75 of 278 papers

TitleStatusHype
Meta-Reinforcement Learning for Fast and Data-Efficient Spectrum Allocation in Dynamic Wireless Networks—0
Learning Task Belief Similarity with Latent Dynamics for Meta-Reinforcement LearningCode0
Scaling Algorithm Distillation for Continuous Control with Mamba—0
Unsupervised Meta-Testing with Conditional Neural Processes for Hybrid Meta-Reinforcement Learning—0
Bayesian Meta-Reinforcement Learning with Laplace Variational Recurrent NetworksCode0
Meta-reinforcement learning with minimum attention—0
Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments—0
InstructRAG: Leveraging Retrieval-Augmented Generation on Instruction Graphs for LLM-Based Task Planning—0
Embodied World Models Emerge from Navigational Task in Open-Ended Environments—0
UAS Visual Navigation in Large and Unseen Environments via a Meta Agent—0
Meta-Reinforcement Learning with Discrete World Models for Adaptive Load Balancing—0
Optimizing Test-Time Compute via Meta Reinforcement Fine-Tuning—0
Teleology-Driven Affective Computing: A Causal Framework for Sustained Well-Being—0
PRISM: A Robust Framework for Skill-based Meta-Reinforcement Learning with Noisy Demonstrations—0
Task-Aware Virtual Training: Enhancing Generalization in Meta-Reinforcement Learning for Out-of-Distribution TasksCode0
Coreset-Based Task Selection for Sample-Efficient Meta-Reinforcement LearningCode0
Toward Task Generalization via Memory Augmentation in Meta-Reinforcement Learning—0
TIMRL: A Novel Meta-Reinforcement Learning Framework for Non-Stationary and Multi-Task Environments—0
Hierarchical Multi-agent Meta-Reinforcement Learning for Cross-channel Bidding—0
Entropy Regularized Task Representation Learning for Offline Meta-Reinforcement LearningCode0
Hierarchical Meta-Reinforcement Learning via Automated Macro-Action Discovery—0
Emergence of Implicit World Models from Mortal Agents—0
Enabling Adaptive Agent Training in Open-Ended Simulators by Targeting DiversityCode0
FALCON: Feedback-driven Adaptive Long/short-term memory reinforced Coding Optimization systemCode0
Meta-Reinforcement Learning with Universal Policy Adaptation: Provable Near-Optimality under All-task Optimum Comparator—0
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