Modelling the Dynamic Joint Policy of Teammates with Attention Multi-agent DDPG

13 Nov 2018Hangyu MaoZhengchao ZhangZhen XiaoZhibo Gong

Modelling and exploiting teammates' policies in cooperative multi-agent systems have long been an interest and also a big challenge for the reinforcement learning (RL) community. The interest lies in the fact that if the agent knows the teammates' policies, it can adjust its own policy accordingly to arrive at proper cooperations; while the challenge is that the agents' policies are changing continuously due to they are learning concurrently, which imposes difficulty to model the dynamic policies of teammates accurately... (read more)

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