We are happy to announce we are continuing our tradition of contributions at the International Conference of Machine Learning (ICML). This year at ICML2022, we are represented with the following papers:

• Main Conference
  1. The Importance of Non-Markovianity in Maximum State Entropy Exploration (Oral Presentation)
     Mirco Mutti, Riccardo De Santi, Marcello Restelli
  2. Delayed Reinforcement Learning by Imitation (Spotlight Presentation)
     Pierre Liotet, Davide Maran, Lorenzo Bisi, Marcello Restelli
  3. Stochastic Rising Bandits (Spotlight Presentations)
     Alberto Maria Metelli, Francesco Trovò, Matteo Pirola, Marcello Restelli
  4. Balancing Sample Efficiency and Suboptimality in Inverse Reinforcement Learning (Spotlight Presentation)
     Giorgio Manganini, Angelo Damiani, Alberto Maria Metelli, Marcello Restelli
• Workshop Contributions
  1. Stochastic Rising Bandits for Online Model Selection (Complex Feedback in Online Learning Workshop)
     Alberto Maria Metelli, Francesco Trovò, Matteo Pirola, Marcello Restelli
  2. Dynamic Linear Bandits for Long-Lasting Vanishing Rewards (DARL Workshop)
     Marco Mussi, Alberto Maria Metelli, Marcello Restelli
  3. Directed Exploration Via Uncertainty Aware Critics (Decision Awareness in Reinforcement Learning Workshop)
     Amarildo Likmeta, Matteo Sacco, Alberto Maria Metelli, Marcello Restelli
  4. Challenging Common Assumptions in Convex Reinforcement Learning (Complex Feedback in Online Learning Workshop)
     Mirco Mutti, Riccardo De Santi, Piersilvio De Bartolomeis, Marcello Restelli
  5. Unsupervised Pre-Training of Non-Markovian Policies for Reinforcement Learning (Pre-training Workshop)
     Pietro Maldini, Mirco Mutti, Riccardo De Santi, Marcello Restelli
  6.  Recursive History Representations for Unsupervised Reinforcement Learning in Multiple-Environments (Decision Awareness in Reinforcement Learning Workshop)
     Pietro Maldini, Mirco Mutti, Riccardo De Santi, Marcello Restelli
  7. Invariance Discovery for Systematic Generalization in Reinforcement Learning (Workshop on Spurious Correlations, Invariance, and Stability)
     Mirco Mutti, Riccardo De Santi, Emanuele Rossi, Juan Felipe Calderon, Michael Bronstein, Marcello Restelli