mccormick.northwestern.edu

ELEC_ENG 373, 473: Deep Reinforcement Learning from Scratch

Prior deep learning experience (e.g. ELEC_ENG/COMP_ENG 395/495 Deep Learning Foundations from Scratch ) and strong familiarity with the Python programming language. Python will be used for all coding ...
JSTOR Daily

Comparing reinforcement learning approaches for solving game theoretic models: a dynamic airline pricing game example

Games can be easy to construct but difficult to solve due to current methods available for finding the Nash Equilibrium. This issue is one of many that face modern game theorists and those analysts ...
Semiconductor Engineering

Effectiveness of a Reinforcement-Learning Based Dynamic Power Manager In a SW Framework

New technical paper titled “Low-Overhead Reinforcement Learning-Based Power Management Using 2QoSM” from researchers at ETH Zurich and Georgia Tech. “With the computational systems of even embedded ...
Control Global

Aramco and Yokogawa commission autonomous-control, AI agents

Yokogawa defines autonomous control AI as AI that deduces the optimum method for control independently, and has a high level ...
Forbes

Carrot And Stick: How Deep Reinforcement Learning Trains AI Differently

From its earliest days, artificial intelligence (AI) has captivated and enticed the business world with its potential ability to learn not only to imitate humans but to supersede our capabilities. As ...
techtimes

Robot Cassie Masters Dynamic Movements Through Reinforcement Learning

Boasting a sophisticated design tailored for versatile mobility, Cassie demonstrates remarkable agility as it effortlessly navigates quarter-mile runs and performs impressive long jumps without ...
TechCrunch

Boston Dynamics joins forces with its former CEO to speed the learning of its Atlas humanoid robot

Boston Dynamics Wednesday announced a partnership designed to bring improved reinforcement learning to its electric Atlas humanoid robot. The tie-up is with the Robotics & AI Institute (RAI Institute) ...