In the ever-evolving landscape of machine learning, diffusion models have marked their territory as a groundbreaking class of generative models. The paper "Diffusion Models for Reinforcement Learning: A Survey" delves into how these models are revolutionizing reinforcement learning (RL). This blog aims to unpack the crux of the paper, highlighting how diffusion models are addressing long-standing challenges in RL and paving the way for future innovations. …
In the realm of image synthesis, a groundbreaking approach has emerged through Denoising Diffusion Probabilistic Models. This technique, inspired by nonequilibrium thermodynamics, represents a significant leap forward, blending the complexity of image generation with the elegance of probabilistic modeling. …