IEEE

Residual Learning Towards High-Fidelity Vehicle Dynamics Modeling With Transformer

Abstract: The vehicle dynamics model serves as a vital component of autonomous driving systems, as it describes the temporal changes in vehicle state. Traditional physics-based methods employ ...
techannouncer

Mastering AI Training Courses: Your Guide to Top Programs in 2026

Thinking about getting into AI? It’s a big field, and figuring out where to start can be tough. With so many ai training courses popping up, it’s hard to know which ones are actually good. I’ve looked ...
IEEE

Dynamics as Prompts: In-Context Learning for Sim-to-Real System Identifications

Abstract: Sim-to-real transfer remains a significant challenge in robotics due to the discrepancies between simulated and real-world dynamics. Traditional methods like Domain Randomization often fail ...
GitHub

R3DM: Enabling Role Discovery and Diversity Through Dynamics Models in Multi-agent Reinforcement Learning

This repository contains the official implementation for R3DM accepted at the International Conference on Machine Learning (ICML) 2025. It includes the source code for the ACORM and R3DM algorithms, ...
Microsoft

Scalable emulation of protein equilibrium ensembles with generative deep learning

Following the sequence and structure revolutions, predicting functionally relevant protein structure changes at scale remains an outstanding challenge. We introduce BioEmu, a deep learning system that ...