A suite of algorithms for learning-aided mapping. Includes implementations of Gaussian process regression and Bayesian generalized kernel inference for occupancy prediction using test-data octrees. A ...

Mesa allows users to quickly create agent-based models using built-in core components (such as spatial grids and agent schedulers) or customized implementations; visualize them using a browser-based ...

Diffusion-based large language models (LLMs) are being explored as a promising alternative to traditional autoregressive models, offering the potential for simultaneous multi-token generation. By ...