Research Interests
Deep reinforcement learning, learning-based control
Short CV
- 2022-present: PhD student, ETH-MPI CLS
- 2019-2021: MSc in Computer Science, ETH Zurich
Selected Publications
- 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.
Teaching
Reinforcement Learning, 2023
Search for Marco Bagatella's papers on the Publications page