Paper: Transferable Reinforcement Learning via Probabilistic Latent Embeddings and Dynamic Policy Adaptation for Sim-to-Real Deployment
Authors: Gengyue Han, Yiheng Feng (Purdue University)
Includes the abstract, key innovations, method overview, demonstration video, and full experimental results.
@inproceedings{han2026transferable,
title = {Transferable Reinforcement Learning via Probabilistic Latent
Embeddings and Dynamic Policy Adaptation for Sim-to-Real Deployment},
author = {Han, Gengyue and Feng, Yiheng},
booktitle = {Proceedings of the 43rd International Conference on
Machine Learning (ICML)},
year = {2026},
publisher = {PMLR},
address = {Seoul, South Korea}
}Yiheng Feng — feng333@purdue.edu