Greedy Action Selection and Pessimistic Q-Value Updating in Multi-Agent Reinforcement Learning with Sparse Interaction
Although multi-agent reinforcement learning (MARL) is a promising method for learning a collaborative action policy, enabling each agent to accomplish specified tasks, MARL has a problem of exponentially increasing state-action space. This state-action space can be dramatically reduced by assuming s...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2019-05-01
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| Series: | SICE Journal of Control, Measurement, and System Integration |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.9746/jcmsi.12.76 |