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Anastasiia Pedan

1 accepted papers

2025

Calibrated Value-Aware Model Learning with Probabilistic Environment Models

ICML 2025poster

The idea of value-aware model learning, that models should produce accurate value estimates, has gained prominence in model-based reinforcement learning. The MuZero loss, which penalizes a model's value function prediction compared to the ground-truth value function, has been utilized in several pro…

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