PyTorch reimplementation of "Deep Hierarchical Planning" RL framework. Features a multi-model architecture with manager-worker policies, world model, and goal autoencoder. Built with Python/PyTorch ...

Abstract: This paper extended Stacked Denoising Autoencoder to build a deep neural network which initialized the weight of neural network through the encoder's weight ...

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...

They look, move and even smell like the kind of furry Everglades marsh rabbit a Burmese python would love to eat. But these bunnies are robots meant to lure the giant invasive snakes out of their ...

The robots mimic the movements and body temperature of real rabbits, a favored prey of pythons. The project is funded by the South Florida Water Management District and builds upon previous research ...

Written in Rust, the PyApp utility wraps up Python programs into self-contained click-to-run executables. It might be the easiest Python packager yet. Every developer knows how hard it is to ...

A Florida woman caught 60 snakes in the state's annual 10-day challenge to eliminate the invasive Burmese python species wreaking havoc with the Everglades ecosystem. More than 900 people participated ...

The Florida Python Challenge is arguably the most well-known and well-attended snake hunt in the country. And according to the results released Wednesday, the 2025 Challenge that took place in July ...

Taylor Stanberry, a Naples native, won the 2025 Florida Python Challenge, removing 60 Burmese pythons. The annual competition aims to control the invasive python population in Florida. This is the ...

More than 900 people participated in the 2025 Python Challenge, a 10-day snake hunt in South Florida. The catches were monumental this year with 294 pythons captured — the most in the contest's ...

Image Denoising with Autoencoders in R (University Project) Built a convolutional autoencoder in R using Keras/TensorFlow to perform image denoising on MNIST and CIFAR-10 datasets with varying levels ...