They defined state features, a vector-based reward function, and an end-to-end action space ... and multi-agent reinforcement learning methods. The experimental results were promising.
Two trailblazing computer scientists have won the 2024 Turing Award for their work in reinforcement learning, a discipline in ...
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Optimizing Spaced Repetition with Deep Reinforcement LearningIn a paper published in the journal Applied Sciences, researchers proposed a novel deep reinforcement learning ... defining state space, action space, observation space, and reward function ...
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