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Awesome GitHub RepositoriesDistributional Value Estimation
Methods in reinforcement learning that estimate the distribution of returns for more robust value functions.
Distinct from Distribution Boundary Estimators: Distinct from generic probability estimation or distributed systems; specifically pertains to RL value functions.
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Awesome Distributional Value Estimation GitHub Repositories
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- facebookresearch/horizon
facebookresearch/Horizon
3,703Auf GitHub ansehenHorizon is a reinforcement learning platform designed for training, evaluating, and deploying agents and contextual bandits using historical data. It serves as an off-policy engine and offline policy evaluation tool, allowing decision-making policies to be optimized and tested without the need for a live simulator. The framework specializes in recommendation system optimization, specifically using slating-based reinforcement learning to optimize the ordering and sequencing of multiple recommendations. It also functions as a contextual bandit framework that manages the balance between explorat
Predicts the full probability distribution of rewards rather than a single scalar mean for more robust learning.
Python
