WebJun 29, 2024 · In this paper, the DDPG algorithm in deep reinforcement learning is introduced into the energy-saving traffic scheduling process, and the advantages of DDPG’s online network and target network, as well as the application of the soft update algorithm, are used to promote a more stable learning process and ensure model convergence; … WebJul 19, 2024 · DDPG tries to solve this by having a Replay Buffer data structure, where it stores transition tuples. We sample a batch of transitions from the replay buffer to calculate critic loss which helps...
Electronics Free Full-Text Research on Energy-Saving Routing ...
WebApr 11, 2024 · The Long Short-Term Memory (LSTM) architecture and rich reward function are designed to improve the speed and stability of convergence. Xu et al. also choose the DDPG algorithm and establish a risk assessment model, improving the network structure. Their algorithm has a good collision avoidance effect and real-time performance. WebNov 17, 2024 · In this paper, we apply a novel model-free deep reinforcement learning (RL) method, known as the deep deterministic policy gradient (DDPG), to generate an optimal control strategy for a multi-zone residential HVAC system with the goal of minimizing energy consumption cost while maintaining the users’ comfort. laybuy returns
Electronics Free Full-Text Research on Energy-Saving …
WebMar 1, 2024 · (DDPG) architecture. 19. It can achieve an adaptive policy. by combining an environmental encoder (EE) with a uni-versal policy. As recurrent neural network (RNN) can. WebMar 17, 2024 · The architecture of Gated Recurrent Unit Now lets’ understand how GRU works. Here we have a GRU cell which more or less similar to an LSTM cell or RNN cell. At each timestamp t, it takes an input Xt and the hidden state Ht-1 from the previous timestamp t-1. Later it outputs a new hidden state Ht which again passed to the next timestamp. WebReinforcement Learning has emerged as a promising approach to implement efficient data-driven controllers for a variety of applications. In this paper, a Deep Deterministic Policy Gradient (DDPG) algorithm is used to train a Vertical Stabilization agent, to be considered as a possible alternative to the model-based solutions usually adopted in existing machines. laybuy merchants uk