Introduction Obesity and its downstream non-communicable diseases (NCDs) are the greatest health challenges of the 21st century, even in low-income and middle-income countries such as India. As ...

This valuable computational study presents a conceptually simple and biologically plausible reinforcement-learning framework for motor learning based on policy-gradient methods. The evidence ...

Following our report last week that Verizon is forcing people to wait 35 days for phone unlocks after paying off device installment plans, Verizon is apparently trying to eliminate the inconvenient ...

Verizon has added on a step for customers wanting to unlock their fully paid-off devices by introducing a new waiting period in certain cases. Under Verizon’s current device-unlocking policy, ...

Abstract: The policy-based methods have achieved remarkable success in solving challenging reinforcement learning (RL) problems. Among these methods, the off-policy policy gradient (OPPG) methods are ...

Synaptic plasticity underlies adaptive learning in neural systems, offering a biologically plausible framework for reward-driven learning. However, a question remains ...

As more companies roll out or refine their return-to-office (RTO) policies, leaders face a critical question: How do you know if your policy is working? Beyond badge swipes and attendance logs, ...

Effective credit assignment is crucial for training LLMs in reasoning tasks. Trajectory-level methods such as GRPO rely solely on sparse final rewards, making credit assignment challenging.

"If all else fails, push the start button, look for smoke, and repair what is burning." During my 15 years working with industry, this was common advice when dealing with troublesome complex electric ...