Efficient Training Techniques for Multi-Agent Reinforcement Learning in Combat Tasks
Multi-agent combat scenarios often appear in many real-time strategy games. Efficient learning for such scenarios is an indispensable step towards general artificial intelligence. Multi-agent reinforcement learning (MARL) algorithms have attracted much interests, but few of them have been shown effe...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2019-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8789448/ |