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2 results for decQN

Investigates offline RL in factorisable action spaces, overcoming overestimation bias.

problem Overestimation bias in value estimates for unseen state-action pairs.
method Value-decomposition approach in DecQN, adapted for factorised discrete action spaces.
result Demonstrates the effectiveness of factorised approach in offline RL.