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pro vyhledávání: '"Wellmer, Zac"'
$k$-Nearest Neighbor search on dense vector embeddings ($k$-NN retrieval) from pre-trained embedding models is the predominant retrieval method for text and images, as well as Retrieval-Augmented Generation (RAG) pipelines. In practice, application d
Externí odkaz:
http://arxiv.org/abs/2409.02343
Autor:
Wellmer, Zac, Kwok, James T.
A World Model is a generative model used to simulate an environment. World Models have proven capable of learning spatial and temporal representations of Reinforcement Learning environments. In some cases, a World Model offers an agent the opportunit
Externí odkaz:
http://arxiv.org/abs/2109.08342
Autor:
Wellmer, Zac, Kwok, James
This paper proposes a novel deep reinforcement learning architecture that was inspired by previous tree structured architectures which were only useable in discrete action spaces. Policy Prediction Network offers a way to improve sample complexity an
Externí odkaz:
http://arxiv.org/abs/1909.07373