A Bout the Attractor Phenomenon in Decom - Posed Reinforcement Learning
نویسندگان
چکیده
We consider tackling a single-agent RL problem by decomposing it to n learners. These learners are generally trained egocentrically: they are greedy with respect to their own local focus. In this extended abstract, we show theoretically and empirically that this leads to the presence of attractors: states attracting and detaining the agent, against what the global objective function would advise.
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