Some call it the gig economy. Others call it the peer economy. Others, the collaborative economy, or “collaborative consumption.” Still others, the sharing economy. As Fast Company contributor Rachael ...

This project aims to facilitate flexible implementation and usage of Rebaring in FreeCAD. The Reinforcement workbench provides tools for Reinforcement Generation and Detailing. This workbench provides ...

Before diving into the details, let’s look at a high-level overview outlining vocabulary terms we’ll see come up and contrasting different methods. It would also be useful to revisit this section ...

Today's AI agents are a primitive approximation of what agents are meant to be. True agentic AI requires serious advances in reinforcement learning and complex memory.

What Is Physical AI & Robotics? Physical AI & Robotics refers to intelligent systems where artificial intelligence is ...

Both sides (Thailand and Cambodia) have jointly agreed on key measures, including a ceasefire to take effect from 12:00 p.m. ...

Abstract: Continuous-time reinforcement learning (CT-RL) methods hold great promise in real-world applications. Adaptive dynamic programming (ADP)-based CT-RL algorithms, especially their theoretical ...

Consumer Matters: Impark replaces sign, refunds ticket after story airs Three factors will stall dementia and the aging process, according to new U.S. study Judge rejects Trump administration ...

keras-rl implements some state-of-the art deep reinforcement learning algorithms in Python and seamlessly integrates with the deep learning library Keras. Furthermore, keras-rl works with OpenAI Gym ...

Abstract: With an exponential increase in network traffic demands requiring quality of services, the need for routing optimization has become more prominent. Recently ...

AI agents are reshaping software development, from writing code to carrying out complex instructions. Yet LLM-based agents are prone to errors and often perform poorly on complicated, multi-step tasks ...