Search Results for author: Mattia Mancassola

Found 3 papers, 1 papers with code

Unsupervised Reinforcement Learning in Multiple Environments

2 code implementations • 16 Dec 2021 • Mirco Mutti, Mattia Mancassola, Marcello Restelli

Along this line, we address the problem of unsupervised reinforcement learning in a class of multiple environments, in which the policy is pre-trained with interactions from the whole class, and then fine-tuned for several tasks in any environment of the class.

reinforcement-learning Reinforcement Learning (RL) +1

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Learning to Explore Multiple Environments without Rewards

no code implementations • ICML Workshop URL 2021 • Mirco Mutti, Mattia Mancassola, Marcello Restelli

Along this line, we address the problem of learning to explore a class of multiple reward-free environments with a unique general strategy, which aims to provide a universal initialization to subsequent reinforcement learning problems specified over the same class.

reinforcement-learning Reinforcement Learning (RL)

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Learning to Explore a Class of Multiple Reward-Free Environments

no code implementations • ICLR Workshop SSL-RL 2021 • Mirco Mutti, Mattia Mancassola, Marcello Restelli

reinforcement-learning Reinforcement Learning (RL)

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