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docs(paper): extend continual-learning references for 2024 and 2025
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paper/refs.bib

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@@ -101,3 +101,10 @@ @book{wang2025continualrlbook
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publisher={Springer},
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year={2025}
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}
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@article{wang2024continualsurvey,
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title={A Comprehensive Survey of Continual Learning: Theory, Method and Application},
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author={Wang, Liyuan and Zhang, Xingxing and Su, Hang and Zhu, Jun},
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journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
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year={2024}
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}

paper/worldmodelgym.tex

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\end{enumerate}
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\section{Related Work}
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WorldModel Gym builds on model-based RL and latent planning, including World Models \citep{ha2018worldmodels}, PlaNet \citep{hafner2019planet}, Dreamer \citep{hafner2019dreamer}, and MuZero \citep{schrittwieser2020muzero}. We include classical online planning references such as POMCP \citep{silver2010pomcp} and DESPOT \citep{somani2013despot,ye2017despot}. For benchmark design, we draw from DeepMind Lab \citep{beattie2016dmlab}, Procgen \citep{cobbe2019procgen,cobbe2021ppg}, and Crafter \citep{hafner2021crafter}. Continual evaluation follows recent continual RL survey and synthesis efforts \citep{pan2025crlsurvey,wang2025continualrlbook}.
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WorldModel Gym builds on model-based RL and latent planning, including World Models \citep{ha2018worldmodels}, PlaNet \citep{hafner2019planet}, Dreamer \citep{hafner2019dreamer}, and MuZero \citep{schrittwieser2020muzero}. We include classical online planning references such as POMCP \citep{silver2010pomcp} and DESPOT \citep{somani2013despot,ye2017despot}. For benchmark design, we draw from DeepMind Lab \citep{beattie2016dmlab}, Procgen \citep{cobbe2019procgen,cobbe2021ppg}, and Crafter \citep{hafner2021crafter}. Continual evaluation follows recent continual RL and continual-learning survey efforts \citep{pan2025crlsurvey,wang2025continualrlbook,wang2024continualsurvey}.
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\section{Benchmark Design}
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\paragraph{Task families.}

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