New model frames human reinforcement learning in the context of memory and habits

Humans and most other animals are known to be strongly driven by expected rewards or adverse consequences. The process of ...
IEEE

Adaptive Optimization in Evolutionary Reinforcement Learning Using Evolutionary Mutation Rates

Abstract: Deep reinforcement learning (DRL) has achieved notable success in continuous control tasks. However, it faces challenges that limit its applicability to a wider array of tasks, including ...
IEEE

A Reinforcement Learning-Based Adaptive Learning Rate Scheduler for Optimizing Brain Tumor Detection

Abstract: One key factor that determines a properly trained deep learning model with the capability to determine medical images for brain tumor is the optimal learning rate. Traditional approaches ...

Machine learning fuels credit boom in India as 93% of lenders claims higher approvals: Report

New research indicates AI and ML are revolutionizing Indian credit decisions, boosting financial inclusion and improving loan ...