L2C2: Locally Lipschitz Continuous Constraint towards Stable and Smooth Reinforcement Learning. Kobayashi, T. In IEEE/RSJ International Conference on Intelligent Robots and Systems, pages 4032–4039, Oct., 2022. Kyoto, Japan. (MoC-16.3), SICE International Young Authors Award (SIYA-IROS2022)![L2C2: Locally Lipschitz Continuous Constraint towards Stable and Smooth Reinforcement Learning [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi bibtex @inproceedings{kobayashiIROS2022,
author = {Taisuke Kobayashi},
title = {L2C2: Locally Lipschitz Continuous Constraint towards Stable and Smooth Reinforcement Learning},
booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems},
year = {2022},
pages = {4032--4039},
month = {Oct.},
url={https://arxiv.org/abs/2202.07152},
note={(MoC-16.3), SICE International Young Authors Award (SIYA-IROS2022)},
organization = {Kyoto, Japan},
doi = {10.1109/IROS47612.2022.9981812},
youtube={https://youtu.be/MROqXNw0xXY},
}
%intentional terminal state 2022/10
Downloads: 0
{"_id":"6AEEWXejdjiABxRAS","bibbaseid":"kobayashi-l2c2locallylipschitzcontinuousconstrainttowardsstableandsmoothreinforcementlearning-2022","author_short":["Kobayashi, T."],"bibdata":{"bibtype":"inproceedings","type":"inproceedings","author":[{"firstnames":["Taisuke"],"propositions":[],"lastnames":["Kobayashi"],"suffixes":[]}],"title":"L2C2: Locally Lipschitz Continuous Constraint towards Stable and Smooth Reinforcement Learning","booktitle":"IEEE/RSJ International Conference on Intelligent Robots and Systems","year":"2022","pages":"4032–4039","month":"Oct.","url":"https://arxiv.org/abs/2202.07152","note":"(MoC-16.3), SICE International Young Authors Award (SIYA-IROS2022)","organization":"Kyoto, Japan","doi":"10.1109/IROS47612.2022.9981812","youtube":"https://youtu.be/MROqXNw0xXY","bibtex":"@inproceedings{kobayashiIROS2022,\n author = {Taisuke Kobayashi},\n title = {L2C2: Locally Lipschitz Continuous Constraint towards Stable and Smooth Reinforcement Learning},\n booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems},\n year = {2022},\n pages = {4032--4039},\n month = {Oct.},\n url={https://arxiv.org/abs/2202.07152},\n note={(MoC-16.3), SICE International Young Authors Award (SIYA-IROS2022)},\n organization = {Kyoto, Japan},\n doi = {10.1109/IROS47612.2022.9981812},\n youtube={https://youtu.be/MROqXNw0xXY},\n}\n\n%intentional terminal state 2022/10\n","author_short":["Kobayashi, T."],"key":"kobayashiIROS2022","id":"kobayashiIROS2022","bibbaseid":"kobayashi-l2c2locallylipschitzcontinuousconstrainttowardsstableandsmoothreinforcementlearning-2022","role":"author","urls":{"Paper":"https://arxiv.org/abs/2202.07152"},"metadata":{"authorlinks":{}},"html":""},"bibtype":"inproceedings","biburl":"https://www.dropbox.com/s/ebs0utssp5unpnm/publish.bib?dl=1","dataSources":["Fdi7RLbmsFp46nnDK"],"keywords":[],"search_terms":["l2c2","locally","lipschitz","continuous","constraint","towards","stable","smooth","reinforcement","learning","kobayashi"],"title":"L2C2: Locally Lipschitz Continuous Constraint towards Stable and Smooth Reinforcement Learning","year":2022}