Marco Bagatella

PhD student in RL, currently at the Autonomous Learning Group.

bio

I am a PhD student at MPI-IS and ETH Zürich, co-advised by Georg Martius and Andreas Krause. I am mainly interested in (deep) reinforcement learning. Previosuly, I was fortunate to spend some time at the AIT Lab (ETH Zürich), under the supervision of Prof. Otmar Hilliges, and in the Autonomous Learning Group.

Not so long ago, I obtained a MSc in Computer Science at ETH Zürich, and a few years before that I graduated from Politecnico di Milano (BSc in Engineering of Computing Systems).

research

My current main focus is on (deep) reinforcement learning, and I enjoy researching or learning about any related idea. In particular, my interests include exploration, temporal abstraction and offline approaches. In the long term, I aim to contribute to the understanding of current RL methods, and I am really excited about finding ways to tackle to rich, open-ended environments.

Outside of RL, I have some experience in representation learning and causality, and I like keeping an eye open towards other topics in machine learning or robotics.

news

Sep 22, 2023 🎉 Goal-conditioned Offline Planning from Curious Exploration was accepted to NeurIPS 2023
May 31, 2023 🪧 Efficient Learning of High Level Plans from Play was presented at ICRA 2023
Aug 19, 2022 🪧 SFP (previously called TempoRL) was published in TMLR
May 1, 2022 🎉 Officially starting my PhD
Dec 16, 2021 🪧 Presented PPGS at NeurIPS 2021

selected publications

  1. Goal-conditioned Offline Planning from Curious Exploration
    Bagatella, Marco, and Martius, Georg
    In Advances in Neural Information Processing Systems 2023
  2. Efficient Learning of High Level Plans from Play
    Urpí, Núria Armengol, Bagatella, Marco, Hilliges, Otmar, Martius, Goerg, and Coros, Stelian
    In International Conference on Robotics and Automation 2023
  3. SFP: State-free Priors for Exploration in Off-Policy Reinforcement Learning
    Bagatella, Marco, Christen, Sammy Joe, and Hilliges, Otmar
    Transactions on Machine Learning Research 2022
  4. Planning from Pixels in Environments with Combinatorially Hard Search Spaces
    Bagatella, Marco, Olšák, Miroslav, Rolinek, Michal, and Martius, Georg
    In Advances in Neural Information Processing Systems 2021