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Implementation of Multistep Quasimetric Estimator

Project description

Multistep Quasimetric Estimation - (wip)

Exploration and eventually practical implementation for the (Multistep Quasimetric Estimation)[https://arxiv.org/abs/2511.07730] proposed by Zheng et al. of Berkeley

Citations

@misc{zheng2026multistepquasimetriclearningscalable,
    title   = {Multistep Quasimetric Learning for Scalable Goal-conditioned Reinforcement Learning},
    author  = {Bill Chunyuan Zheng and Vivek Myers and Benjamin Eysenbach and Sergey Levine},
    year    = {2026},
    eprint  = {2511.07730},
    archivePrefix = {arXiv},
    primaryClass = {cs.LG},
    url     = {https://arxiv.org/abs/2511.07730},
}
@misc{liu2023metricresidualnetworkssample,
    title   = {Metric Residual Networks for Sample Efficient Goal-Conditioned Reinforcement Learning},
    author  = {Bo Liu and Yihao Feng and Qiang Liu and Peter Stone},
    year    = {2023},
    eprint  = {2208.08133},
    archivePrefix = {arXiv},
    primaryClass = {cs.LG},
    url     = {https://arxiv.org/abs/2208.08133},
}

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