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Mirco Mutti
Publication Activity (10 Years)
Years Active: 2018-2024
Publications (10 Years): 23
Top Topics
Policy Gradient
Partially Observed
Reinforcement Learning
Markov Decision Process
Top Venues
CoRR
AAAI
AISTATS
ICML
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Publications
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Chinmaya Kausik
,
Mirco Mutti
,
Aldo Pacchiano
,
Ambuj Tewari
A Framework for Partially Observed Reward-States in RLHF.
CoRR
(2024)
Mirco Mutti
,
Riccardo De Santi
,
Marcello Restelli
,
Alexander Marx
,
Giorgia Ramponi
Exploiting Causal Graph Priors with Posterior Sampling for Reinforcement Learning.
CoRR
(2023)
Mirco Mutti
,
Riccardo De Santi
,
Emanuele Rossi
,
Juan Felipe Calderón
,
Michael M. Bronstein
,
Marcello Restelli
Provably Efficient Causal Model-Based Reinforcement Learning for Systematic Generalization.
AAAI
(2023)
Alberto Maria Metelli
,
Mirco Mutti
,
Marcello Restelli
A Tale of Sampling and Estimation in Discounted Reinforcement Learning.
CoRR
(2023)
Martino Bernasconi
,
Matteo Castiglioni
,
Alberto Marchesi
,
Mirco Mutti
Persuading Farsighted Receivers in MDPs: the Power of Honesty.
CoRR
(2023)
Alberto Maria Metelli
,
Mirco Mutti
,
Marcello Restelli
A Tale of Sampling and Estimation in Discounted Reinforcement Learning.
AISTATS
(2023)
Martino Bernasconi
,
Matteo Castiglioni
,
Alberto Marchesi
,
Mirco Mutti
Persuading Farsighted Receivers in MDPs: the Power of Honesty.
NeurIPS
(2023)
Mirco Mutti
,
Riccardo De Santi
,
Piersilvio De Bartolomeis
,
Marcello Restelli
Convex Reinforcement Learning in Finite Trials.
J. Mach. Learn. Res.
24 (2023)
Mirco Mutti
,
Riccardo De Santi
,
Piersilvio De Bartolomeis
,
Marcello Restelli
Challenging Common Assumptions in Convex Reinforcement Learning.
CoRR
(2022)
Mirco Mutti
,
Mattia Mancassola
,
Marcello Restelli
Unsupervised Reinforcement Learning in Multiple Environments.
AAAI
(2022)
Mirco Mutti
,
Stefano Del Col
,
Marcello Restelli
Reward-Free Policy Space Compression for Reinforcement Learning.
CoRR
(2022)
Mirco Mutti
,
Riccardo De Santi
,
Emanuele Rossi
,
Juan Felipe Calderón
,
Michael Bronstein
,
Marcello Restelli
Provably Efficient Causal Model-Based Reinforcement Learning for Systematic Generalization.
CoRR
(2022)
Mirco Mutti
,
Stefano Del Col
,
Marcello Restelli
Reward-Free Policy Space Compression for Reinforcement Learning.
AISTATS
(2022)
Mirco Mutti
,
Riccardo De Santi
,
Marcello Restelli
The Importance of Non-Markovianity in Maximum State Entropy Exploration.
CoRR
(2022)
Mirco Mutti
,
Riccardo De Santi
,
Piersilvio De Bartolomeis
,
Marcello Restelli
Challenging Common Assumptions in Convex Reinforcement Learning.
NeurIPS
(2022)
Mirco Mutti
,
Riccardo De Santi
,
Marcello Restelli
The Importance of Non-Markovianity in Maximum State Entropy Exploration.
ICML
(2022)
Mirco Mutti
,
Mattia Mancassola
,
Marcello Restelli
Unsupervised Reinforcement Learning in Multiple Environments.
CoRR
(2021)
Mirco Mutti
,
Lorenzo Pratissoli
,
Marcello Restelli
Task-Agnostic Exploration via Policy Gradient of a Non-Parametric State Entropy Estimate.
AAAI
(2021)
Mirco Mutti
,
Lorenzo Pratissoli
,
Marcello Restelli
A Policy Gradient Method for Task-Agnostic Exploration.
CoRR
(2020)
Mirco Mutti
,
Marcello Restelli
An Intrinsically-Motivated Approach for Learning Highly Exploring and Fast Mixing Policies.
AAAI
(2020)
Mirco Mutti
,
Marcello Restelli
An Intrinsically-Motivated Approach for Learning Highly Exploring and Fast Mixing Policies.
CoRR
(2019)
Alberto Maria Metelli
,
Mirco Mutti
,
Marcello Restelli
Configurable Markov Decision Processes.
CoRR
(2018)
Alberto Maria Metelli
,
Mirco Mutti
,
Marcello Restelli
Configurable Markov Decision Processes.
ICML
(2018)