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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