News
Some updates...
- I will be one of the speakers at Multi-Agent Reinforcement Learning Summer School at EPFL.
- I will be one of the speakers at Adaptive Learning in Complex Environments in Chicago.
- I am organizing the Aligning Reinforcement Learning Experimentalists and Theorists at ICML 2024. The workshop aims to bring theorists and experimentalists together to drive future research in RL.
- Our paper "Truly No-Regret Learning in Constrained MDPs" has been accepted at ICML 2024!
- In February 2024 I started working as an Assistant Professor at the University of Zurich.
- Our paper "Provably learning nash policies in constrained markov potential games" has been accepted at AAMAS 2024!
- Our paper "Exploiting Causal Graph Priors with Posterior Sampling for Reinforcement Learning" has been accepted at ICLR 2024!
- I am happy to be part of the ELLIS community.
- Our paper On Imitation in Mean-field Games" has been accepted at NeurIPS 2023!
- I was invited as a lecturer at the Mediterranean Machine Learning Summer School to talk about Deep Reinforcement Learning.
- I gave a talk on Reinforcement Learning and Multi-agent Learning at the New Frontiers in Learning, Control, and Dynamical Systems workshop at ICML 2023. See everyone in Hawaii!
- Four papers accepted at EWRL 2023!
- Designing and teaching a new course called Data Science and Machine Learning for the ETH-Ashesi Master program.
- Two papers accepted at NeurIPS 2022! "Active Exploration for Inverse Reinforcement Learning" and "Trust Region Policy Optimization with Optimal Transport Discrepancies: Duality and Algorithm for Continuous Actions"
- Our open problem "Do you pay for Privacy in Online learning?" has been selected at COLT 2022.
- Our paper "Active Exploration for Inverse Reinforcement Learning" has been accepted at the Adaptive Experimental Design and Active Learning in the Real World (ReALML) workshop at ICML 2022.
- Our paper "Learning in Markov Games: can we exploit a general-sum opponent?" has been accepted as oral (~4%) at UAI 2022.