Latest Articles for Sample Efficiency

A new framework enhances multi-turn decision-making for language models.

FAC improves learning efficiency in reinforcement learning with unique experience management.

A new class of PMD improves reinforcement learning through multi-step decision-making.

Examining biological intelligence to enhance artificial learning efficiency.

A new method enhances RL efficiency with fewer demonstrations.

Introducing BRO, an advanced method for faster robotic learning.

This study highlights the efficiency of off-policy learning in adversarial imitation.

A look into triply efficient shadow tomography for quantum systems.

LAGMA improves multi-agent cooperation and learning efficiency through goal guidance.

A new approach to improve efficiency in neural architecture search processes.

Robust reinforcement learning adapts strategies for reliable outcomes despite real-world challenges.

A new method enhances MCTS performance in complex decision-making environments.

A method to enhance decision-making in reinforcement learning using representation learning.

Saturn improves drug discovery by efficiently generating effective molecules for treatment.

This study presents new algorithms for learning Bayesian networks using online learning techniques.

CoDreamer enhances cooperation among agents in dynamic environments.

A new framework enhances learning efficiency in multi-agent systems through innovative world modeling.

A new framework boosts inventory management efficiency using reinforcement learning techniques.

Robots can learn more efficiently using their own shape in decision-making.

A new approach enhances robot learning efficiency using task symmetries.

A new method improves reinforcement learning efficiency and performance using physical models.

This method improves agent training using less expert data through exploration and path signatures.

SAC-BBF combines SAC and Rainbow for better learning in discrete action spaces.

A new method enhances the security of deep learning models against hidden threats.

A new method improves guidance in diffusion models using reinforcement learning.

Reinforcement learning agents learn to adapt and reuse knowledge for new challenges.

New approaches in drug design prioritize molecule synthesizability for better outcomes.

A new approach enhances decision-making in AI agents through teaching methods.

Exploring techniques for enhancing robot hand coordination and task efficiency.

A new method for detecting hallucinations in language models using corrupted data.

A new framework enhances learning efficiency in visual reinforcement learning.

Improving decision-making efficiency in complex environments using a novel algorithm.

A new method enhances learning performance through dynamic action persistence.

This article reviews dropout methods for boosting small language models' performance.

A method to find optimal solutions in uncertain environments with costly evaluations.

GameOpt innovates protein design through efficient optimization techniques.

Research shows new methods to better align LLMs with human feedback.

Exploring how new techniques enhance adaptability in reinforcement learning systems.

Exploring how performative RL changes game dynamics and policy stability.

Researchers improve transformers’ grammar skills for better language processing.