NeurIPS 2025 Explorer
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johnsanterre.github.io
softmax policies
A method used to determine action probabilities in reinforcement learning where actions are sampled based on their relative expected rewards, promoting exploration.
1 papers
Computational Hardness of Reinforcement Learning with Partial $q^{\pi}$-Realizability