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|
| @misc{uber2024,
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| title = {{UBER}: Uncertainty-Based Experience Replay for Continual Reinforcement Learning},
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| year = {2024},
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| note = {Placeholder citation; replace with the canonical reference for the UBER baseline implemented in this codebase.}
|
| }
|
|
|
| @misc{drago2024,
|
| title = {{DRAGO}: Distillation-Based Replay for Continual World Models},
|
| author = {Anonymous},
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| note = {Placeholder citation; replace with the canonical reference for the DRAGO baseline implemented in this codebase.}
|
| }
|
|
|
| @misc{arrow2024,
|
| title = {{ARROW}: Asymmetric Replay for World Models},
|
| author = {Anonymous},
|
| year = {2024},
|
| note = {Placeholder citation; replace with the canonical reference once the ARROW baseline is implemented.}
|
| }
|
|
|
| @inproceedings{huang2017knapsack,
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| author = {Huang, Chien-Chung and Kakimura, Naonori and Yoshida, Yuichi},
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| year = {2017},
|
| publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
|
| address = {Dagstuhl, Germany},
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| doi = {10.4230/LIPIcs.APPROX-RANDOM.2017.11},
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|
| @article{huang2018multipass,
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| author = {Huang, Chien-Chung and Kakimura, Naonori},
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| title = {Multi-Pass Streaming Algorithms for Monotone Submodular Function Maximization},
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|
| }
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| |
