Latest Articles for Actions

A study on how characters' actions reveal their goals in stories.

A novel strategy improves decision-making using advanced language models.

Integrating ontologies enhances planning in uncertain and complex environments.

Learn how deep reinforcement learning combines decision-making and neural networks.

A look into how our brains create models for understanding the world.

MiWaves offers personalized strategies to help young adults cut down on cannabis.

This paper examines the role of RL in solving the Andrews-Curtis conjecture.

Learn how cognitive-logs can enhance our reasoning about actions and events.

A new method helps robots learn skills by observing human behavior.

A new method enhances information gathering for robots in complex situations.

Exploring how players can work together without verbal communication.

A method to predict opponents' moves in simultaneous choice games.

A look into the least action principle and its role in physics.

Exploring invariant and equivariant maps to enhance neural networks.

A fresh perspective on how the order of arguments shapes discussions.

This method helps machines plan actions based on instructional videos effectively.

Explore how cognitive dissonance shapes our beliefs and actions.

A new framework allows AI agents to create actions dynamically for better problem-solving.

ROAD-Waymo enhances understanding of road actions for autonomous vehicles.

A deep dive into tracking insider risks in support agent workflows.

DINO-WM helps robots learn and adapt without constant retraining.

A new method helps robots learn actions from videos without a lot of data.

RLInspect helps analyze and improve reinforcement learning models effectively.

A new approach to make smarter decisions with limited information.

Learn about robust Markov decision processes and their applications in uncertainty.

Learn how robots understand actions to improve their tasks.

A look into Robust MDPs and their role in uncertain decision-making.

VidHal benchmarks video models' ability to accurately interpret content.

Learn how predicting action timing can enhance smart home systems.

Create videos featuring real people with controlled actions and consistent identities.

CogACT combines language and action for smarter robots in everyday tasks.

Research highlights the challenge of verb understanding in multimodal AI models.

Mastering the timing of information can shift outcomes in various scenarios.

A new method boosts agent exploration in various tasks.

Research sheds light on brain processes guiding finger movements.

A glimpse into the fascinating worlds of curves and their structures.

A new model predicts hand movements from everyday language.

Learn how asynchronous techniques improve real-time decision-making for AI agents.

Discover how JoVALE enhances understanding of actions in videos.