A distributed Actor-Learner framework based on torchbeast
combined with GRPC, for Atari Games training
Docker Env: pytorch/pytorch:1.7.0-cuda11.0-cudnn8-runtime
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Multiple servers support
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Hyperparameter tuning
If you used this code for your experiments or found it helpful, consider citing the following paper:
@article{DAI2022108,
title = {Towards scalable and efficient Deep-RL in edge computing: A game-based partition approach},
journal = {Journal of Parallel and Distributed Computing},
volume = {168},
pages = {108-119},
year = {2022},
issn = {0743-7315},
doi = {https://doi.org/10.1016/j.jpdc.2022.06.006},
author = {Hao Dai and Jiashu Wu and Yang Wang and Chengzhong Xu}
}