BroadwayWorld spoke with Marc Salzberg to discuss his philosophy in sound design for the theatre. He reflects evolving ...
Tutorials might well be the bane of the video game industry's existence. Teaching a player how to do something is surprisingly difficult to do. Even if a developer crafts an educational and ...
Here I show you reinforcement learning (RL) examples to train (fine-tune) language models (LM). All these examples are implemented from scratch (manually) in a step-by-step manner (*1), and also shows ...
Pupil dilation provides a physiological readout of information gain during the brain's internal process of belief updating in the context of associative learning.
Abstract: Finite-set model predictive control (FS-MPC) appears to be a promising and effective control method for power electronic converters. Conventional FS-MPC suffers from the time-consuming ...
Abstract: The increasing computational demands of Deep Reinforcement Learning (DRL) models, particularly for embedded systems in autonomous vehicles and drones, present significant challenges owing to ...
*: Equal contribution. Project Co-lead., †: Corresponding Author. Humanoid-Gym is an easy-to-use reinforcement learning (RL) framework based on Nvidia Isaac Gym, designed to train locomotion skills ...