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An Actor-Critic Algorithm for Sequence Prediction

ICLR 2017 · Reinforcement learning › Policy gradient and actor-critic · approach: Actor-critic theory · 215 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use actor-critic plus log-likelihood instead of log-likelihood trainingSpelling correction · Spelling correction, four L and η settingsCER: 17.81 -> 16.65; 18.4 -> 17.1; 38.12 -> 34.6; 40.87 -> 36.36Helped
Use actor-critic trainingIWSLT 2014 convolutional encoder · Greedy decodingBLEU: 19.33 -> 21.66Helped
Use actor-critic trainingIWSLT 2014 convolutional encoder · Beam decodingBLEU: 21.46 -> 22.45Helped
Use actor-critic plus log-likelihood instead of log-likelihood trainingIWSLT 2014 bidirectional GRU encoder · Greedy decodingBLEU: +1.7 BLEUHelped
Use actor-critic plus log-likelihood instead of log-likelihood trainingIWSLT 2014 bidirectional GRU encoder · Beam decodingBLEU: +1.0 BLEUHelped
Use actor-critic plus log-likelihood instead of log-likelihood trainingWMT14 English-French · Greedy decodingBLEU: +1.5 BLEUHelped
Use actor-critic plus log-likelihood instead of log-likelihood trainingWMT14 English-French · Beam decodingBLEU: +0.4 BLEUHelped
Add log-likelihood gradient to actor-critic trainingSpelling correction AC · Spelling correction, four L and η settingsCER: 17.24 -> 16.65; 17.31 -> 17.1; 35.89 -> 34.6; 37.0 -> 36.36Helped
Increase critic update speed γφ to 0.01 (ablation)Actor-critic · IWSLT 2014 ablation, greedy, first 10 epochsvalid BLEU: 23.16 -> 23.03Hurt
Increase critic update speed γφ to 0.1 (ablation)Actor-critic · IWSLT 2014 ablation, greedy, first 10 epochsvalid BLEU: 23.16 -> 22.80Hurt
Increase critic update speed γφ to 1 (ablation)Actor-critic · IWSLT 2014 ablation, greedy, first 10 epochsvalid BLEU: 23.16 -> 8.14Hurt
Increase actor update speed γθ to 1 (ablation)Actor-critic · IWSLT 2014 ablation, greedy, first 10 epochsvalid BLEU: 23.16 -> 22.88Hurt

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