6 citations · 8 across the 4 of their papers we have counts for
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cs.LG2022★ 1 cited
Simultaneously Updating All Persistence Values in Reinforcement Learning
Luca Sabbioni, Luca Al Daire, Lorenzo Bisi +2
In reinforcement learning, the performance of learning agents is highly sensitive to the choice of time discretization. Agents acting at high frequencies have the best control oppo…
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…