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Deep reinforcement learning for long‐term pavement maintenance planning
Inappropriate maintenance and rehabilitation strategies cause many problems such as
maintenance budget waste, ineffective pavement distress treatments, and so forth. A method …
maintenance budget waste, ineffective pavement distress treatments, and so forth. A method …
Playing Flappy Bird Based on Motion Recognition Using a Transformer Model and LIDAR Sensor
A transformer neural network is employed in the present study to predict Q-values in a
simulated environment using reinforcement learning techniques. The goal is to teach an …
simulated environment using reinforcement learning techniques. The goal is to teach an …
Neuro-Evolution in Flappy Bird Game
N Deepkumar, V Vasudevan - 2022 IEEE 2nd Mysore Sub …, 2022 - ieeexplore.ieee.org
This paper presents an implementation of an Artificial Intelligence (AI) using a Genetic
Algorithm (GA) and Deep Neural Network (DNN), with the goal of creating an AI that can win …
Algorithm (GA) and Deep Neural Network (DNN), with the goal of creating an AI that can win …
DeepFoldit--A Deep Reinforcement Learning Neural Network Folding Proteins
Python based Advanced Multiplayer Gaming Environment
BSK Reddy, D Singh, CP Agarwal… - … Conference on I …, 2024 - ieeexplore.ieee.org
The original Flappy Bird game was critically average for its time, yet it did not stop the game
from becoming one of the most frustrating and competitive games in its short lifespan …
from becoming one of the most frustrating and competitive games in its short lifespan …
Implement deep sarsa in grid world with changing obstacles and testing against new environment
In this paper, the Deep SARSA method is used to find the path of the robot on 5× 5
environment with the presence of moving obstacles. This problem is known as Grid world …
environment with the presence of moving obstacles. This problem is known as Grid world …
Playing the Snake Game with Reinforcement Learning
P Yuhang, S Yiqi, M Qianli, G Bowen… - … Explorations in Arts …, 2023 - ceasjournal.com
When it is necessary to make several decisions to solve a problem, reinforcement learning
works well. In this project, we demonstrate the outcomes of playing with snakes using a …
works well. In this project, we demonstrate the outcomes of playing with snakes using a …
[PDF][PDF] Game Playing Agent for 2048 using Deep Reinforcement Learning
M NIE - 3rd National Conference on Image Processing …, 2018 - pdfs.semanticscholar.org
Reinforcement learning is used in applications where there is no correct approach to solve
the problem. Teaching computers to play games is a complex learning problem that mostly …
the problem. Teaching computers to play games is a complex learning problem that mostly …