Add to ORKGThis thesis is created to solve the problem in the transportation field. It is how the vehicle can move from start point to the finish point without causing an accident. Deep Reinforcement Learning with PPO algorithm is used in this thesis. PPO act as an instinct for the agent to choose an action. The instinct will be keep updated until the agent reaches the goal. In this thesis, Unity Engine is used to create the data set or the agent model. Because the problem is included in transportation field, then the data set is in the form of track and the agent model is in the form of a car. Many variables used in this thesis, either for help the analysis process or for updating the instinct of the agent
Abstract Deep reinforcement learning is poised to be a revolutionised step towards newer possibiliti...
This paper explains the attempted development of a deep reinforcement learning-based self-driving ca...
With the implementation of reinforcement learning (RL) algorithms, current state-of-art autonomous v...
Autonomous driving is one solution that can minimize and even prevent accidents. In autonomous drivi...
With the rapid development of autonomous driving and artificial intelligence technology, end-to-end ...
Deep Reinforcement Learning has led us to newer possibilities in solving complex control and navigat...
Autonomous vehicles mitigate road accidents and provide safe transportation with a smooth traffic fl...
In this project, an RGB camera will be used as data input to explore an end-to-end method based on v...
Autonomus Car atau kendaraan otonom merupakan kendaraan yang memiliki kemampuan untuk berkendara sec...
Autonomous cars must be capable to operate in various conditions and learn from unforeseen scenario...
The goal of this thesis is a creation of an autonomous agent that can control a vehicle. The agent u...
This project presents the implementation of deep learning model to act as a self-driving car- agent ...
Autonomna vožnja jedan je od problema kojim se bavi umjetna inteligencija. Kako bi vozilo samostalno...
Purpose: Over the past decades, there has been significant research effort dedicated to the developm...
In this thesis, we will be investigating the current landscape of state-of-the-art methods using dee...
Abstract Deep reinforcement learning is poised to be a revolutionised step towards newer possibiliti...
This paper explains the attempted development of a deep reinforcement learning-based self-driving ca...
With the implementation of reinforcement learning (RL) algorithms, current state-of-art autonomous v...
Autonomous driving is one solution that can minimize and even prevent accidents. In autonomous drivi...
With the rapid development of autonomous driving and artificial intelligence technology, end-to-end ...
Deep Reinforcement Learning has led us to newer possibilities in solving complex control and navigat...
Autonomous vehicles mitigate road accidents and provide safe transportation with a smooth traffic fl...
In this project, an RGB camera will be used as data input to explore an end-to-end method based on v...
Autonomus Car atau kendaraan otonom merupakan kendaraan yang memiliki kemampuan untuk berkendara sec...
Autonomous cars must be capable to operate in various conditions and learn from unforeseen scenario...
The goal of this thesis is a creation of an autonomous agent that can control a vehicle. The agent u...
This project presents the implementation of deep learning model to act as a self-driving car- agent ...
Autonomna vožnja jedan je od problema kojim se bavi umjetna inteligencija. Kako bi vozilo samostalno...
Purpose: Over the past decades, there has been significant research effort dedicated to the developm...
In this thesis, we will be investigating the current landscape of state-of-the-art methods using dee...
Abstract Deep reinforcement learning is poised to be a revolutionised step towards newer possibiliti...
This paper explains the attempted development of a deep reinforcement learning-based self-driving ca...
With the implementation of reinforcement learning (RL) algorithms, current state-of-art autonomous v...