Cooperative Multi-Agent Reinforcement Learning for Multi-Component Robotic Systems: guidelines for future research
Reinforcement Learning (RL) as a paradigm aims to develop algorithms that allow to train an agent to optimally achieve a goal with minimal feedback information about the desired behavior, which is not precisely specified. Scalar rewards are returned to the agent as response to its actions endorsing...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
De Gruyter
2011-06-01
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| Series: | Paladyn |
| Subjects: | |
| Online Access: | https://doi.org/10.2478/s13230-011-0017-5 |