A TD3-based multi-agent deep reinforcement learning method in mixed cooperation-competition environment
We explored the problem about function approximation error and complex mission adaptability in multi-agent deep reinforcement learning. This paper proposes a new multi-agent deep reinforcement learning algorithm framework named multi-agent time delayed deep deterministic policy gradient. Our work re...
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| Published in: | Neurocomputing (Amsterdam) Vol. 411; pp. 206 - 215 |
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| Main Authors: | , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Elsevier B.V
21.10.2020
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| Subjects: | |
| ISSN: | 0925-2312, 1872-8286 |
| Online Access: | Get full text |
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