通过python3.6编程,利用DQN算法实现机器学习避开障碍走到迷宫终点。(Through python3.6 programming, I use DQN algorithm to achieve machine learning and avoid obstacles to the maze end.)
☆10Apr 15, 2018Updated 7 years ago
Alternatives and similar repositories for DQN_Maze
Users that are interested in DQN_Maze are comparing it to the libraries listed below
Sorting:
- DQN Pytorch☆16Dec 13, 2021Updated 4 years ago
- 数据预处理——插值法填补缺失值,并且标记填充位置☆10Apr 19, 2019Updated 6 years ago
- A repository for a Deep Q-Learning approach to intrusion detection for networks cyber-attacks.☆10Sep 3, 2021Updated 4 years ago
- A Simple Path-Finding Agent, based on DQN Algorithm (My B.Sc. Thesis, Phase 1/3)☆27Jun 6, 2025Updated 9 months ago
- learning the weight of each paras in DWA(Dynamic Window Approach) by using DQN(Deep Q-Learning)☆85Aug 24, 2018Updated 7 years ago
- a Federated Learning Framework adapted for resource-constrained environments, focusing on IoT devices☆10Oct 6, 2025Updated 5 months ago
- ☆10Dec 10, 2021Updated 4 years ago
- Implementation of Dynamic Computation Offloading Control Logic in a Software-Defined Vehicle (SDV) System☆11Dec 19, 2024Updated last year
- ☆82Aug 25, 2017Updated 8 years ago
- 一些利用pytorch编程实现的强化学习例子☆36Apr 7, 2019Updated 6 years ago
- Source code for "Congestion-aware Distributed Task Offloading in Wireless Multi-hop Networks Using Graph Neural Networks"☆14Oct 23, 2024Updated last year
- Teaching the Donkey car to drive a track in the simulator using State Representation Learning and different Reinforcement Learning Algori…☆12Dec 6, 2021Updated 4 years ago
- Official implementation of the UMDQN algorithm presented in the scientific research paper entitled "Distributional Reinforcement Learning…☆11Jun 3, 2022Updated 3 years ago
- Reinforcement learning project using deep Q-learning to control the operations of an electrical microgrid☆10Jan 3, 2023Updated 3 years ago
- Thesis in Federated Learning using an Edge/Cloud Computing architecture☆10Feb 26, 2021Updated 5 years ago
- ☆10Jul 26, 2024Updated last year
- My undergraduate final project - Modeling and control of a distillation column using neural networks and reinforcement learning.☆12Apr 28, 2020Updated 5 years ago
- Source code for AdaptSky paper☆11Jan 1, 2023Updated 3 years ago
- This operator will manage and configure data processing unit (DPUs) to be used in accelerating/offloading k8s networking functions☆12Feb 13, 2026Updated 3 weeks ago
- ☆11Jan 11, 2022Updated 4 years ago
- [ICML 2024 Oral] Consistent Adversarial Robust Deep Q Networks (CAR-DQN)☆15Feb 27, 2025Updated last year
- Protect workers with TensorFlow Hard Hat object detection model on a Jetson Nano☆10Sep 27, 2022Updated 3 years ago
- AI path planning and controller for formations of drones.☆15Apr 8, 2021Updated 4 years ago
- Deep Reinforcement Learning based Autonomous Driving Agents☆10Jul 7, 2022Updated 3 years ago
- This is a DQN-based recommendation system for item-list recommendation and it finally achieved second place in the competition of RL-base…☆11Oct 8, 2021Updated 4 years ago
- An HTTP client for the Rust AWS SDK that runs on Fastly Compute @ Edge☆10Nov 11, 2025Updated 3 months ago
- Optimization of vehicle routing problem by deep reinforcement learning method based on residual edge-graph attention network☆16Dec 9, 2024Updated last year
- ☆10Jun 28, 2022Updated 3 years ago
- ☆10Dec 13, 2022Updated 3 years ago
- A basic program for Python to crawl recruitment position information based on Selenium. Python 基于 Selenium 爬取招聘岗位信息的基础程序☆13Nov 23, 2024Updated last year
- A systematic design process for a self-organizing neuro-fuzzy Q-network for model-free and offline reinforcement learning.☆11May 29, 2023Updated 2 years ago
- ☆10Sep 21, 2020Updated 5 years ago
- ☆10Dec 12, 2022Updated 3 years ago
- This project accelerates deep learning models on the edge with the support of running ensemble learning for performance improvement. The …☆11Jun 21, 2022Updated 3 years ago
- Backend.AI Client Library for Python☆10Sep 22, 2023Updated 2 years ago
- ☆10Feb 9, 2025Updated last year
- Official implementation of the paper "MTL-Split: Multi-Task Learning for Edge Devices using Split Computing" accepted @ DAC 2024.☆10Dec 3, 2024Updated last year
- Edge Computing AI and Smart Contract☆10May 30, 2023Updated 2 years ago
- This is the MATLAB based simulation of optimized Vehicular Fog Computing framework that minimizes the latency during the computatin tasks…☆12Jul 11, 2024Updated last year