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},
}
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
mqe-0.0.4.tar.gz
(5.1 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
mqe-0.0.4-py3-none-any.whl
(4.3 kB
view details)
File details
Details for the file mqe-0.0.4.tar.gz.
File metadata
- Download URL: mqe-0.0.4.tar.gz
- Upload date:
- Size: 5.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: uv/0.8.17
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
18e555bf1a80b299d198a6538c26b91ef1b2b016d9f81bc2d95483d314b51b71
|
|
| MD5 |
85b749fd7dbe799f799176f5f091c5fa
|
|
| BLAKE2b-256 |
4886be7d3de374559830b3a2bf7d6e147cae3a1c508b0204cbeeb65792fbc261
|
File details
Details for the file mqe-0.0.4-py3-none-any.whl.
File metadata
- Download URL: mqe-0.0.4-py3-none-any.whl
- Upload date:
- Size: 4.3 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: uv/0.8.17
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
7fa5e7f32b6f0df40db7d06b66879de29e5bd4608f876dbc1602ec11ad73d7c5
|
|
| MD5 |
bd60a7afe75bf3ec1ccbecb39c7a6b53
|
|
| BLAKE2b-256 |
270b4b70efddb0178d99f8af1c141df2c533c6d9116ddad54e743a0d04cfce53
|