Aug 3, 2019 · In this paper, a hybrid deep reinforcement learning framework and its application in robot control are proposed based on the existing model-free deep ...
In this paper, a hybrid deep reinforcement learning framework and its application in robot control are proposed based on the existing model-free deep ...
In this paper, a hybrid deep reinforcement learning framework and its application in robot control are proposed based on the existing model-free deep ...
Results show that the hybrid deep reinforcement learning algorithm in this paper has a significant improvement on the final performance and sample ...
This paper proposes an optimisation strategy for real-time energy management based on hybrid deep reinforcement learning (HDRL).
This paper proposes a hybrid reinforcement learning (RL) based Eco-Driving algorithm considering both the longitudinal acceleration/deceleration and the lateral ...
The aim of this work is to design an effective hybrid two-layer path planning architecture that, by exploiting the powerful tools offered by the emerging Deep ...
Missing: Manipulation. | Show results with:Manipulation.
Feb 16, 2023 · This review presents recent progress in combining reinforcement learning with high-dimensional, non-linear, and time-delay physical information.
People also ask
What is a hybrid learning algorithm?
What is the best algorithm for reinforcement learning?
What is the DRL method?
What is an example of reinforcement learning in artificial intelligence?
Aug 27, 2022 · Therefore, this paper proposes an optimisation strategy for real-time energy management based on hybrid deep reinforcement learning (HDRL). An ...
Apr 1, 2021 · The main contribution of this paper is to construct a hybrid structured algorithm from model predictive control (MPC) and deep reinforcement ...
Missing: Manipulation. | Show results with:Manipulation.