Fig. 2From: Molecular de-novo design through deep reinforcement learningGenerating sequences. Sequence generation by a trained RNN. Every timestep t we sample the next token of the sequence \(x^{t}\) from the probability distribution given by the RNN, which is then fed in as the next inputBack to article page