ambirpatel / Object-Localization-using-Deep-Reinforcement-LearningLinks
We have trained an intelligent agent that draws bounding boxes around an object in the image. This implementation combines CNN, DQN, and SVM to detect an object in an image. The algorithm extract features from CNN which are fed to DQN to train an agent to localize the object and this localized object is categorized using the SVM model.
☆10Updated 5 months ago
Alternatives and similar repositories for Object-Localization-using-Deep-Reinforcement-Learning
Users that are interested in Object-Localization-using-Deep-Reinforcement-Learning are comparing it to the libraries listed below
Sorting:
- a Federated Learning Framework adapted for resource-constrained environments, focusing on IoT devices☆10Updated 4 months ago
- Implementation of Dynamic Computation Offloading Control Logic in a Software-Defined Vehicle (SDV) System☆11Updated 8 months ago
- ROS 기반 자율주행 application의 로드밸런싱을 위한 computation offloading 기술 개발☆19Updated 8 months ago
- ☆17Updated last year
- Data Traceability and Safety in the Cloud and Edge☆12Updated 3 years ago
- ROS2 기반 자율주행 application의 로드밸런싱을 위한 computation offloading 기술 개발☆16Updated 8 months ago
- I have targeted to solve the benchmark problem in Reinforcement learning literature using Deep Q-networks with images as the only input t…☆12Updated 5 years ago
- SZU-AdvTech-2024 / 059-Deep-Reinforcement-Learning-for-Task-Offloading-in-Mobile-Edge-Computing-Systems☆10Updated 7 months ago
- Joint Task Offloading and Resource Allocation for Integrated V2V and V2I Communication☆17Updated 9 months ago
- Teaching the Donkey car to drive a track in the simulator using State Representation Learning and different Reinforcement Learning Algori…☆10Updated 3 years ago
- DQN related algorithms☆10Updated 2 years ago
- Using Reinforcement Learning method to realize load balancing control in dynamic cellular network☆11Updated 6 years ago
- Official codes for "Training Deep Q-Network via Monte Carlo Tree Search for Adaptive Bitrate Control in Video Delivery"☆10Updated 2 years ago
- 学习DRL CNN -> DQN -> LSTM☆13Updated 6 years ago
- Implementation of the RTSS'23 Best Student Paper Award paper Progressive Neural Compression for Adaptive Image Offloading under Timing Co…☆12Updated 5 months ago
- [EMSOFT 2022] Adaptive Edge Offloading for Image Classification Under Rate Limit☆14Updated 2 years ago
- 车杆倒立摆DQN简单实现☆19Updated 2 months ago
- A Face Mask detection system based You Only Look Once (YOLO) architecture deploy in-browser with Serverless Edge Computing for COVID-19☆11Updated 4 years ago
- ☆11Updated 3 years ago
- DQN flappy bird with tensorflow2☆16Updated 4 years ago
- Official implementation of the paper "MTL-Split: Multi-Task Learning for Edge Devices using Split Computing" accepted @ DAC 2024.☆11Updated 9 months ago
- Deep Reinforcement Learning framework that uses GNN to solve planning tasks for infrastructural assets☆16Updated 3 years ago
- Implementation of Dueling Network Architectures for Deep Reinforcement Learning paper with Pytorch☆10Updated 4 years ago
- This repository contains a Reinforcement learning algorithm for task scheduling in edge-cloud computing.☆12Updated last year
- The source code is the entry for 2022 EUROCONTROL Air Transport Innovation Network Innovation Masterclass. The reinforcement learning mod…☆16Updated 3 years ago
- 主要利用QLearning,DQN,ImprovedDQN(Ddouble DQN) 解决gym框架下的三个问题CartPole-v0,MountainCar-v0,Acrobot-v1☆13Updated 7 years ago
- A DQN implementation using Keras and Tensorflow☆12Updated 6 years ago
- Predicting Walmart's Quarterly Earnings - Pytorch LSTM Example☆10Updated 3 years ago
- User-Level Online Mobile Computation Offloading Framework☆11Updated 6 years ago
- This is the code for paper "AIHO: Enhancing Task Offloading and Reducing Latency in Serverless Multi-Edge-to-Cloud Systems".☆11Updated last year