Augmenting reinforcement learning to enhance cooperation in the iterated prisoner’s dilemma
Reinforcement learning algorithms applied to social dilemmas sometimes struggle with converging to mutual cooperation against like-minded partners, particularly when utilising greedy behavioural selection methods. Recent research has demonstrated how affective cognitive mechanisms, such as mood and...
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| Main Authors: | , |
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| Format: | Default Conference proceeding |
| Published: |
2022
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| Subjects: | |
| Online Access: | https://hdl.handle.net/2134/19208958.v1 |
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