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Streaming Deep Reinforcement Learning

Project description

Streaming Deep RL (wip)

Explorations into the proposed Streaming Deep Reinforcement Learning, from University of Alberta

Once completed, if it checks out, will reach to integrate the Stream Q(λ) with Q-Transformer

A recent testimony to Streaming AC(λ) variant can be found here. Will be incorporated into the repository as well with a few improvements.

Paper reading by Youtube AI/ML educator @hu-po

The official repository can be found here

Citations

@inproceedings{Elsayed2024StreamingDR,
    title   = {Streaming Deep Reinforcement Learning Finally Works},
    author  = {Mohamed Elsayed and Gautham Vasan and A. Rupam Mahmood},
    year    = {2024},
    url     = {https://api.semanticscholar.org/CorpusID:273482696}
}
@article{Nauman2024BiggerRO,
    title   = {Bigger, Regularized, Optimistic: scaling for compute and sample-efficient continuous control},
    author  = {Michal Nauman and Mateusz Ostaszewski and Krzysztof Jankowski and Piotr Milo's and Marek Cygan},
    journal = {ArXiv},
    year    = {2024},
    volume  = {abs/2405.16158},
    url     = {https://api.semanticscholar.org/CorpusID:270063045}
}

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