EfficientZero V2 is a general framework designed for sample-efficient RL algorithms. We have expanded the performance of EfficientZero to multiple domains, encompassing both contin- uous and discrete ...

Real-time generation demo: our D2F model (left) uses parallel block decoding, while the AR baseline (right) generates tokens sequentially. This visualizes the source of D2F's significant throughput ...

Researchers at Los Alamos National Laboratory have developed a new approach that addresses the limitations of generative AI models. Unlike generative diffusion models, the team's Discrete Spatial ...

Abstract: Production systems include both discrete part and batch operations, where an individual part is manufactured in a discrete operation, and a group of parts are processed simultaneously, i.e., ...

Abstract: At present, discrete memristor is a focus of chaotic mapping. However, the study of discrete memcapacitor and discrete meminductor has not begun. In order to study the dynamics of discrete ...

It's highly recommended to recruit Aza before completing this quest. Aza's companion quest requires you to clear out the N-Ray Range anyway, so you can kill two birds with one stone. Acquire the N-Ray ...

The “Discrete Mathematics” quest in The Outer Worlds 2 comes with a hefty stack of obstacles, starting with its pickup point. You’ll have to avoid explosives, defeat invisible enemies, and solve a ...

The Graphics Processing Unit (GPU) plays a central part in how you use a computer, irrespective of whether you use it for hardcore gaming or just regular tasks. There are two common types of GPUs, ...

1 School of Computer Science and Technology, Changsha University of Science and Technology, Changsha, China 2 School of Information Engineering, Changsha Medical University, Changsha, China With the ...

This Collection supports and amplifies research related to SDG 3: Good Health & Well-Being. Understanding how complex biological behaviors emerge from interacting molecular, cellular, or ecological ...

Masked diffusion has emerged as a promising alternative to autoregressive models for the generative modeling of discrete data. Despite its potential, existing research has been constrained by overly ...