Data

Value-based MORL for stochastic environments data.zip

Federation University Australia
Cameron Foale (Aggregated by) Kewen Ding (Aggregated by) Peter Vamplew (Aggregated by) Richard Dazeley (Aggregated by)
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25955/24980382.v1&rft.title=Value-based MORL for stochastic environments data.zip&rft.identifier=10.25955/24980382.v1&rft.publisher=Federation University Australia&rft.description=Data from the experiments reported in Deng, Vamplew, Foale & Dazeley, An Empirical Investigation of Value-Based Multi-objective Reinforcement Learning for Stochastic Environments. http://arxiv.org/abs/2401.03163&rft.creator=Cameron Foale&rft.creator=Kewen Ding&rft.creator=Peter Vamplew&rft.creator=Richard Dazeley&rft.date=2024&rft_rights= https://creativecommons.org/licenses/by/4.0/&rft_subject=Reinforcement learning&rft_subject=Multi-objective reinforcement learning&rft.type=dataset&rft.language=English Access the data
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Data from the experiments reported in Deng, Vamplew, Foale & Dazeley, An Empirical Investigation of Value-Based Multi-objective Reinforcement Learning for Stochastic Environments.
http://arxiv.org/abs/2401.03163

Issued: 11 01 2024

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Multi-objective reinforcement learning | Reinforcement learning |

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