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cs.LG2022★ 1 cited
Delayed Reinforcement Learning by Imitation
Pierre Liotet, Davide Maran, Lorenzo Bisi +1
When the agent's observations or interactions are delayed, classic reinforcement learning tools usually fail. In this paper, we propose a simple yet new and efficient solution to t…
cs.LG2021
Lifelong Hyper-Policy Optimization with Multiple Importance Sampling Regularization
Pierre Liotet, Francesco Vidaich, Alberto Maria Metelli +1
Learning in a lifelong setting, where the dynamics continually evolve, is a hard challenge for current reinforcement learning algorithms. Yet this would be a much needed feature fo…