… networks, has now to be combined with integration of the space… integrated network (STIN)
is a new network architecture which is one of the enabling technologies for future 6 G networks …

We propose a deep stochastic actor–critic algorithm with an integrated network … to the critic’s
loss and a smaller learning rate for the shared parameters between the actor and the critic. …

… deterministic actor-critic algorithm with an integrated network architecture and an integrated
… keeping the actor unchanged while the critic makes large errors. We reduce the number of …

… this paper proposes an integrated actor-critic neural network for the … , an integrated critic-actor
neural network is proposed to … actor and critic networks, actor and critic neural network are …

… study of an integrated power, … actor-critic algorithm is introduced to solve the complex
scheduling problem. The optimized decision-making action can be identified by the soft actor-critic …

… target network are also integrated into DDPG. … network is re-configured, In other words, on
a new network environment, we need to train a new actor network π(·) and a new critic network …

… The main contributions of this paper are as follows: 1) We describe the integrated energy
system mathematical models and optimization problem of the electricity-heat-gas network as …

… Finally, the output of the learning agent using actor–critic neural network is used to
dynamically tune the control signal of local controller. Control simulations of different ways for a …

… -priority objective for network management. To relieve the energy cost for network operators
and alleviate the energy burden for power grid, a promising solution is to integrate energy …

… In comparison with previous works, we propose actor-critic learning for resource allocation
which can be used at different levels of disaggregated RANs. We use a reward function that …