Search Results for author: Pierre Liotet

Found 3 papers, 0 papers with code

Delays in Reinforcement Learning

no code implementations20 Sep 2023 Pierre Liotet

In this dissertation, we propose to study the delay in the agent's observation of the state of the environment or in the execution of the agent's actions.

Decision Making reinforcement-learning +1

Delayed Reinforcement Learning by Imitation

no code implementations11 May 2022 Pierre Liotet, Davide Maran, Lorenzo Bisi, Marcello Restelli

When the agent's observations or interactions are delayed, classic reinforcement learning tools usually fail.

Imitation Learning reinforcement-learning +1

Lifelong Hyper-Policy Optimization with Multiple Importance Sampling Regularization

no code implementations13 Dec 2021 Pierre Liotet, Francesco Vidaich, Alberto Maria Metelli, Marcello Restelli

This hyper-policy is trained to maximize the estimated future performance, efficiently reusing past data by means of importance sampling, at the cost of introducing a controlled bias.

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