Decoupled Dynamics
An assumption in multi-agent systems that each agent's state transition is independent, with each agent's next state determined solely by its own current state and action, and coupling among agents expressed only through the reward function.
Timeline (last 90 days)
Decoupled dynamics assume that each agent's state transitions are independent of one another, i.e., each agent's next state is determined solely by its current state and its own action.
Under decoupled dynamics, coupling among agents is manifested only through the reward function (submodular reward), not through state evolution.
If state transitions are coupled, the theoretical guarantees of sequential optimization no longer hold directly.
Estimation error in c_m affects practical performance, and the algorithm assumes decoupled dynamics—how to extend it to scenarios with coupled agent state transitions remains an open problem.
All Facts (4)
Decoupled dynamics assume that each agent's state transitions are independent of one another, i.e., each agent's next state is determined solely by its current state and its own action.
50%UnverifiedUnder decoupled dynamics, coupling among agents is manifested only through the reward function (submodular reward), not through state evolution.
50%UnverifiedIf state transitions are coupled, the theoretical guarantees of sequential optimization no longer hold directly.
50%UnverifiedEstimation error in c_m affects practical performance, and the algorithm assumes decoupled dynamics—how to extend it to scenarios with coupled agent state transitions remains an open problem.
50%