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conf
conf
 
 
model
model
 
 
notebooks
notebooks
 
 
preprocess
preprocess
 
 
reader
reader
 
 
recsim
recsim
 
 
requirements
requirements
 
 
scripts
scripts
 
 
src
src
 
 
.gitignore
.gitignore
 
 
Dockerfile
Dockerfile
 
 
HACTraining.ipynb
HACTraining.ipynb
 
 
README.md
README.md
 
 
TrainingCurves.ipynb
TrainingCurves.ipynb
 
 
buffer.py
buffer.py
 
 
encoder.py
encoder.py
 
 
main_sac.py
main_sac.py
 
 
networks.py
networks.py
 
 
plot_utils.py
plot_utils.py
 
 
run.sh
run.sh
 
 
run_multibehavior.sh
run_multibehavior.sh
 
 
sac_torch.py
sac_torch.py
 
 
train_actor_critic_opt.py
train_actor_critic_opt.py
 
 
train_ddpg_wholesession.py
train_ddpg_wholesession.py
 
 
train_hac_krpure_wholesession.sh
train_hac_krpure_wholesession.sh
 
 
train_hac_krpure_wholesession_opt.sh
train_hac_krpure_wholesession_opt.sh
 
 
train_multibehavior.py
train_multibehavior.py
 
 
train_rebrac_wholesession.py
train_rebrac_wholesession.py
 
 
train_sac_wholesession.py
train_sac_wholesession.py
 
 
utils.py
utils.py
 
 

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rl_in_recsys

Implementation of RL algorithms for RecSys tasks

conda create -n rl python=3.8 -y
conda activate rl 
conda install conda-forge::hydra-core -y
conda install pytorch torchvision -c pytorch -y
conda install pandas matplotlib tqdm scikit-learn -y

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Implementation of RL algorithms for RecSys tasks

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