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Found 3 papers, 2 papers with code
Skill or Luck? Return Decomposition via Advantage Functions
Learning from off-policy data is essential for sample-efficient reinforcement learning.
Homomorphism Autoencoder -- Learning Group Structured Representations from Observed Transitions
How can agents learn internal models that veridically represent interactions with the real world is a largely open question.
Direct Advantage Estimation
The predominant approach in reinforcement learning is to assign credit to actions based on the expected return.
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