dc-liuyy's repositories
FQF
FQF(Fully parameterized Quantile Function for distributional reinforcement learning) is a general reinforcement learning framework for Atari games, which can learn to play Atari games automatically by predicting return distribution in the form of a fully parameterized quantile function.
Language:Jupyter NotebookNOASSERTION000
Language:C++000
homework_fall2020
Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2020)
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vision
Datasets, Transforms and Models specific to Computer Vision
Language:Jupyter NotebookBSD-3-Clause000