Reinforcement learning for reward maximization Reinforcement learning is a special branch of AI algorithms that is composed of three key elements: an environment, agents, and rewards.

RLVR (Reinforcement Learning with Verifiable Rewards) is widely regarded as a promising approach to enable LLMs to continuously self-improve and acquire novel reasoning capabilities. Researchers ...

Building a culture of positive reinforcement in healthcare is more than a feel-good initiative, it's a strategic approach that can transform an organization.

Positive reinforcement is considered as a strategy on its own merit, but it is also at the heart of evidence-based interventions for children on the autism spectrum (Wong et al., 2015). Well-known ...

The application of Deep Reinforcement Learning (DRL) in economics has been an area of active research in recent years. A number of recent works have shown how deep reinforcement learning can be used ...