RL-World-Model

Applying World Model to solve Reinforcement Learning environments

Name		Name	Last commit message	Last commit date
Latest commit History 25 Commits
configs		configs
results/WorldModels/Boxing-v0		results/WorldModels/Boxing-v0
rnn		rnn
vae		vae
.gitignore		.gitignore
Boxing-v0.cma.16.7.svg		Boxing-v0.cma.16.7.svg
Boxing-v0.cma.16.7.wall.svg		Boxing-v0.cma.16.7.wall.svg
Boxing-v0_viz.ipynb		Boxing-v0_viz.ipynb
README.md		README.md
boxing.bash		boxing.bash
boxing.py		boxing.py
controller.py		controller.py
enduro random agent.py		enduro random agent.py
enduro.bash		enduro.bash
env.py		env.py
es.py		es.py
extract.py		extract.py
plot_training_progress.ipynb		plot_training_progress.ipynb
requirements.txt		requirements.txt
rnn_train.py		rnn_train.py
series.py		series.py
space invaders.py		space invaders.py
train.py		train.py
utils.py		utils.py
vae_train.py		vae_train.py
visualizations.ipynb		visualizations.ipynb

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