Can existing algorithms designed for simple reinforcement learning problems be used to solve more complex RL problems? Researcher Dylan Foster discusses the modular approach he and his coauthors explored in their 2024 NeurIPS paper on RL under latent dynamics.<a href="https://www.microsoft.com/en-us/research/publication/reinforcement-learning-under-latent-dynamics-toward-statistical-and-algorithmic-modularity/">Read the paper</a>

Can existing algorithms designed for simple reinforcement learning problems be used to solve more complex RL problems? Researcher Dylan Foster discusses the modular approach he and his coauthors explored in their 2024 NeurIPS paper on RL under latent dynamics. Read the paper

Can existing algorithms designed for simple reinforcement learning problems be used to solve more complex RL problems? Researcher Dylan Foster discusses the modular approach he and his coauthors explored in their 2024 NeurIPS paper on RL under latent dynamics.<a href="https://www.microsoft.com/en-us/research/publication/reinforcement-learning-under-latent-dynamics-toward-statistical-and-algorithmic-modularity/" rel="noopener noreferrer">Read the paper</a>

Abstracts: NeurIPS 2024 with Dylan Foster

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Abstracts: NeurIPS 2024 with Dylan Foster

Abstracts: NeurIPS 2024 with Dylan Foster

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