Author

Michaela Girstl

View on Semantic Scholar

1 paper indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Jul 2026

Constrained Reinforcement Learning Using Successor Representations

The Safe Deep Successor Representation is proposed, a novel method that allows quick retraining of policies towards new cost structures and is competitive on a simple navigation task while being considerably more flexible.

Michaela Girstl, Alexander Mattick, Christopher Mutschler · Trans. Mach. Learn. Res. · 0 citations