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Code for paper " Faster Reinforcement Learning Using Active Simulators" (2017)
Jupyter Notebook Python
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.ipynb_checkpoints
Dep_domain
Indep1
Indep2
MountainCar
fin_plots
old_maze_rl
plots
verify2
.gitignore
Readme.md
base.npz
base2.npz
maze.py
maze.pyc
test.py
verify.py
verify_new_subtasks.csv

Readme.md

TLDR: Online curriculum design for training RL agents in a sample efficient manner (Summer 2016)

Complementary details available at https://arxiv.org/abs/1703.07853

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