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06/13/2023
Stepsize Learning for Policy Gradient Methods in Contextual Markov Decision Processes
Policy-based algorithms are among the most widely adopted techniques in ...
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11/21/2022
Simultaneously Updating All Persistence Values in Reinforcement Learning
In reinforcement learning, the performance of learning agents is highly ...
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02/17/2020
Control Frequency Adaptation via Action Persistence in Batch Reinforcement Learning
The choice of the control frequency of a system has a relevant impact on...
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12/06/2019