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Found 4 papers, 2 papers with code
Reasoning with Latent Diffusion in Offline Reinforcement Learning
However, a key challenge in offline RL lies in effectively stitching portions of suboptimal trajectories from the static dataset while avoiding extrapolation errors arising due to a lack of support in the dataset.
MLNav: Learning to Safely Navigate on Martian Terrains
We present MLNav, a learning-enhanced path planning framework for safety-critical and resource-limited systems operating in complex environments, such as rovers navigating on Mars.
Machine Learning Based Path Planning for Improved Rover Navigation (Pre-Print Version)
Enhanced AutoNav (ENav), the baseline surface navigation software for NASA's Perseverance rover, sorts a list of candidate paths for the rover to traverse, then uses the Approximate Clearance Evaluation (ACE) algorithm to evaluate whether the most highly ranked paths are safe.
Deep Residual Neural Networks for Image in Speech Steganography
We propose a deep learning based technique to hide a source RGB image message inside finite length speech segments without perceptual loss.
Multimedia Sound Audio and Speech Processing
