Marco Bagatella
Position / Function
Contact
Marco Bagatella
Department of Computer Science
Andreasstrasse 5, 8092 Zürich
Email: mbagatella[AT]ethz[DOT]ch
Website
Short CV
2022-present
PhD student
ETH-MPI CLS
2019-2021
MSc in Computer Science
ETH Zurich
Selected References
- Bagatella M, Olšák M, Rolínek M, et al. Planning from pixels in environments with combinatorially hard search spaces[J]. Advances in Neural Information Processing Systems, 2021, 34: 24707-24718.
- Bagatella M, Christen S, Hilliges O. SFP: State-free priors for exploration in off-policy reinforcement learning[J]. arXiv preprint arXiv:2205.13528, 2022.
- Bagatella M, Martius G. Goal-conditioned offline planning from curious exploration[J]. Advances in Neural Information Processing Systems, 2023, 36: 15358-15383.
Research Interests
Deep reinforcement learning, learning-based control
Teaching
Reinforcement Learning, 2023