On-the-fly strategy adaptation for ad-hoc agent coordination
Training agents in cooperative settings offers the promise of AI agents able to interact effectively with humans (and other agents) in the real world. Multi-agent reinforcement learning (MARL) has the potential to achieve this goal, demonstrating success in a series of challenging problems. However,...
| Main Authors: | , , |
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| Format: | Conference item |
| Language: | English |
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International Foundation for Autonomous Agents and Multiagent Systems
2022
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