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"Value Function Decomposition for Iterative Design of Reinforcement ..."

James MacGlashan et al. (2022)

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DOI: 10.48550/ARXIV.2206.13901

access: open

type: Informal or Other Publication

metadata version: 2022-07-04

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  - journals/corr/abs-2206-13901
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  - https://dblp.org/rec/journals/corr/abs-2206-13901
James MacGlashan, Evan Archer, Alisa Devlic, Takuma Seno, Craig Sherstan, Peter R. Wurman, Peter Stone:
Value Function Decomposition for Iterative Design of Reinforcement Learning Agents. CoRR abs/2206.13901 (2022)

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