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On the Role of Weight Sharing During Deep Option Learning

AAAI 2020 · Reinforcement learning › Policy gradient and actor-critic · approach: Variance-reduced policy gradients · 12 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use OCPG rather than OCOption-critic on Alien · Alien 10Mevaluation reward: 491.5 -> 663.0Helped
Use OCPG rather than OCOption-critic on Alien · Alien 25Mevaluation reward: 618.8 -> 791.4Helped
Use OCPG rather than OCOption-critic on Amidar · Amidar 10Mevaluation reward: 45.1 -> 219.3Helped
Use OCPG rather than OCOption-critic on Amidar · Amidar 25Mevaluation reward: 89.4 -> 141.9Helped
Use OCPG rather than OCOption-critic on Asterix · Asterix 10Mevaluation reward: 409.7 -> 1213.4Helped
Use OCPG rather than OCOption-critic on Asterix · Asterix 25Mevaluation reward: 1042.0 -> 1679.8Helped
Use OCPG rather than OCOption-critic on Boxing · Boxing 10Mevaluation reward: -37.7 -> -41.4Hurt
Use OCPG rather than OCOption-critic on Boxing · Boxing 25Mevaluation reward: 32.9 -> 90.8Helped
Use OCPG rather than OCOption-critic on Jamesbond · Jamesbond 10Mevaluation reward: 7.1 -> 118.6Helped
Use OCPG rather than OCOption-critic on Jamesbond · Jamesbond 25Mevaluation reward: 29.3 -> 317.7Helped
Use OCPG rather than OCOption-critic on Tennis · Tennis 10Mevaluation reward: -17.9 -> -14.4Helped
Use OCPG rather than OCOption-critic on Tennis · Tennis 25Mevaluation reward: -19.9 -> -13.1Helped

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