Variance-Averse $n$-Step Offline Reinforcement Learning for Sparse Long-Horizon Environments.

arXiv:2610.07899v1 Announce Type: cross Abstract: Generative actors are transforming offline reinforcement learning (RL) by enabling expressive policy classes that model complex action distributions. However, this expressiveness also exposes a key challenge in