Mirco Mutti

10

Papers

5

Total Citations

Papers (10)

Enhancing Diversity In Parallel Agents: A Maximum State Entropy Exploration Story

Towards Principled Unsupervised Multi-Agent Reinforcement Learning

NeurIPS 2025arXiv

Offline Inverse RL: New Solution Concepts and Provably Efficient Algorithms

Test-Time Regret Minimization in Meta Reinforcement Learning

How to Explore with Belief: State Entropy Maximization in POMDPs

Blindfolded Experts Generalize Better: Insights from Robotic Manipulation and Videogames

Geometric Active Exploration in Markov Decision Processes: the Benefit of Abstraction

Challenging Common Assumptions in Convex Reinforcement Learning

Persuading Farsighted Receivers in MDPs: the Power of Honesty

Configurable Markov Decision Processes