BlockSeq
Code for 'Blockwise Sequential Model Learning for Partially Observable Reinforcement Learning' (AAAI 2022, Oral presentation)
Install / Use
/learn @Giseung-Park/BlockSeqREADME
Blockwise Sequential Model Learning

Code for 'Blockwise Sequential Model Learning for Partially Observable Reinforcement Learning' (AAAI 2022, Oral presentation)
For installation and execution, please refer to the 'code_off_policy/Readme_Installation_Execution.txt' and 'code_on_policy_minigrid/Minigrid_Installation_Execution.txt.'
If there is any question or suggestion, don't hesitate to contact the author via gs.park@kaist.ac.kr.
Citation
@article{DBLP:journals/corr/abs-2112-05343,
author = {Giseung Park and
Sungho Choi and
Youngchul Sung},
title = {Blockwise Sequential Model Learning for Partially Observable Reinforcement
Learning},
journal = {CoRR},
volume = {abs/2112.05343},
year = {2021},
url = {https://arxiv.org/abs/2112.05343},
eprinttype = {arXiv},
eprint = {2112.05343},
timestamp = {Tue, 14 Dec 2021 14:21:31 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2112-05343.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
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