Diffusion-based generative methods have proven effective in modeling trajectories with
offline datasets. However, they often face computational challenges and can falter in …

A core strength of Model Predictive Control (MPC) for quadrupedal locomotion has been its
ability to enforce constraints and provide interpretability of the sequence of commands over …

Hybrid action models are widely considered an effective approach to reinforcement learning
(RL) modeling. The current mainstream method is to train agents under Parameterized …

This research aims to fill the research gap by analyzing sustainable leadership practices in
the mining industry, expanding the understanding from previous sustainable leadership …

This paper introduces the Hierarchical Multiscale Diffuser (HM-Diffuser), a novel approach
for efficient long-horizon planning. Building on recent advances in diffusion-based planning …