Semiconductor Engineering

Rethinking Robotics Reinforcement Learning: A Practical Humanoid Training Workflow

A complete pipeline that can run on a single workstation to train a humanoid robot to walk over rough terrain.
IEEE

A Dynamic Framework to Integrate Deep Reinforcement Learning with Hierarchical Symbolic Plans

Abstract: Neuro-symbolic framework has become one of the mainstream paradigms in intelligent system design. For intelligent decision-making, Reinforcement Learning (RL) and automated planning are the ...
Hosted on MSN

How to deep clean your kitchen | Kitchen cleaning tutorial

NASA shares new photo of far side of the moon as Artemis II approaches The stay-at-home boyfriend is now an economic trend as more women than men go to work Lucy and Ricky in real life: 28 photos of ...
marktechpost

How to Build an Agentic Deep Reinforcement Learning System with Curriculum Progression, Adaptive Exploration, and Meta-Level UCB Planning

In this tutorial, we build an advanced agentic Deep Reinforcement Learning system that guides an agent to learn not only actions within an environment but also how to choose its own training ...
Hosted on MSN

DenseNet Architecture Explained | Beginner’s Deep Learning Tutorial

Learn about DenseNet, one of the most powerful deep learning architectures, in this beginner-friendly tutorial. Understand its structure, advantages, and how it’s used in real-world AI applications.
C&EN

MolAI: A Deep Learning Framework for Data-Driven Molecular Descriptor Generation and Advanced Drug Discovery Applications

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator.
IEEE

Deep Reinforcement Learning for Distribution System Operations: A Tutorial and Survey

Abstract: The rapid evolution of modern electric power distribution systems into complex networks of interconnected active devices, distributed generation (DG), and storage poses increasing ...