Model-Based ReinforcementLearningviaImagination withDerivedMemory
–Neural Information Processing Systems
We randomly selected action sequences from test episodes collected with action noise alongside the training episodes. Next, we analyze the IDM framework based on Janner's work [1]. Denote pθ(z |z,a) as the state transition probability predicted by model.
Neural Information Processing Systems
Feb-8-2026, 15:05:08 GMT
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