ningmengzhihe / DQN_baseLinks
DQN algorithm by Pytorch - a simple maze game
☆31Updated 2 years ago
Alternatives and similar repositories for DQN_base
Users that are interested in DQN_base are comparing it to the libraries listed below
Sorting:
- D3QN Pytorch☆63Updated 3 years ago
- Lightweight multi-agent PPO for IEEE field.☆14Updated 3 years ago
- Deep Q Network for Multi-agent RL☆15Updated 4 years ago
- Code implementation of "Cooperative Trajectory Design of Multiple UAV Base Stations with Heterogeneous Graph Neural Networks".☆93Updated 2 years ago
- [TMC 2023] Delay-Sensitive Energy-Efficient UAV Crowdsensing by Deep Reinforcement Learning☆54Updated 3 years ago
- This is the code of the moddpg algorithm for UAV-assisted data collection and energy harvesting.☆34Updated 3 years ago
- DQN by Matlab and Python☆31Updated 5 years ago
- Double DQN Pytorch☆20Updated 3 years ago
- [ICDE 2022] Human-Drone Collaborative Spatial Crowdsourcing by Memory-Augmented Distributed Multi-Agent Deep Reinforcement Learning☆24Updated 3 years ago
- Implement some algorithms of RL☆47Updated 2 years ago
- Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space☆48Updated 3 years ago
- [INFOCOM 2022] AoI-minimal UAV Crowdsensing by Model-based Graph Convolutional Reinforcement Learning☆54Updated 2 years ago
- 一个基于图神经网络的强化学习网络资源分配模型☆29Updated 3 years ago
- [ToN 2024] Ensuring Threshold AoI for UAV-assisted Mobile Crowdsensing by Multi-Agent Deep Reinforcement Learning with Transformer☆33Updated last year
- ☆62Updated 2 years ago
- Official Pytorch implementation of Soft-DRGN (IEEE trans on Mobile Computing 2022)☆36Updated 2 years ago
- ☆16Updated 3 years ago
- [JSAC 2018] Energy-Efficient UAV Control for Effective and Fair Communication Coverage: A Deep Reinforcement Learning Approach☆115Updated last year
- Codes for paper of 'Solving job scheduling problems in a resource preemption environment with multi-agent reinforcement learning'☆44Updated 2 years ago
- [ICDE 2020] Curiosity-Driven Energy-Efficient Worker Scheduling in Vehicular Crowdsourcing: A Deep Reinforcement Learning Approach☆17Updated 3 years ago
- my code for paper Parameterized-DQN☆22Updated 4 years ago
- Dueling DQN Pytorch☆13Updated 3 years ago
- ☆15Updated 2 years ago
- ☆31Updated 2 years ago
- This repository contains the Python implementation of our submitted paper titled "Deep Reinforcement Learning for Joint Trajectory and Co…☆13Updated 11 months ago
- UAV offloading based on QMIX☆14Updated last year
- DDPG in Pytorch☆45Updated 3 years ago
- A multi-agent reinforcement learning framework for optimizing coverage and connectivity in Space-Air-Ground integrated networks. This pro…☆24Updated 3 months ago
- ☆29Updated 2 months ago
- ☆20Updated 6 months ago