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Stanford-ILIAD/PantheonRL
Stanford-ILIAD/PantheonRL PublicPantheonRL is a package for training and testing multi-agent reinforcement learning environments. PantheonRL supports cross-play, fine-tuning, ad-hoc coordination, and more.
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ermongroup/SPN_Variational_Inference
ermongroup/SPN_Variational_Inference PublicPyTorch implementation for "Probabilistic Circuits for Variational Inference in Discrete Graphical Models", NeurIPS 2020
Python 15
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LongHorizonTemperatureScaling
LongHorizonTemperatureScaling PublicPyTorch implementation for "Long Horizon Temperature Scaling", ICML 2023
Python 17
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Stanford-ILIAD/Conventions-ModularPolicy
Stanford-ILIAD/Conventions-ModularPolicy PublicPyTorch implementation for "On the Critical Role of Conventions in Adaptive Human-AI Collaboration", ICLR 2021
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