techyAdventure / Deep-Q-Networks-with-Dual-Memory-Architecture-GridWorld
Completion of three Deep Q-Networks : Deep Q-Network (DQN), Double Deep Q-Network (DDQN), Double Dueling Deep Q-Network (D3QN)
☆10Updated 3 years ago
Alternatives and similar repositories for Deep-Q-Networks-with-Dual-Memory-Architecture-GridWorld:
Users that are interested in Deep-Q-Networks-with-Dual-Memory-Architecture-GridWorld are comparing it to the libraries listed below
- Source code of paper "A Hierarchical Reinforcement Learning Algorithm Based on Attention Mechanism for UAV Autonomous Navigation"☆20Updated 2 years ago
- Hierarchical and Stable Multiagent Reinforcement Learning for Cooperative Navigation Control☆10Updated 2 years ago
- Multi-Agent Deep Recurrent Q-Learning with Bayesian epsilon-greedy on AirSim simulator☆11Updated 3 years ago
- Multi Agent SAC and DDPG applied to path finding in a 3-dimensional grid☆12Updated 3 years ago
- Developed a Multi-Agent DDPG to solve Vehicle Scheduling problem.☆13Updated 2 years ago
- Multi Agent adaptation of Soft Actor Critic Reinforcement Learning Algorithm☆19Updated 6 years ago
- 无人机动态覆盖控制；1. 实现了一个无人机点覆盖环境；2. 给出了无人机连通保持规则；3. 给出了基于MARL的控制算法☆48Updated 7 months ago
- Use Multi-Agent Deep Deterministic Policy Gradient(DDPG) algorithm to find reasonable paths for ships☆34Updated 2 years ago
- using actor-critic method to dealing with the path-planning UAV problem☆17Updated 5 years ago
- Deep Reinforcement Learning (DRL) algorithms have been successfully applied to a range of challenging simulated continuous control single…☆50Updated 6 years ago
- The Python implementation of the proposed framework in the paper Evolutionary Multi-Objective Deep Reinforcement Learning for Autonomous …☆24Updated last year
- RLToolkit is a flexible and high-efficient reinforcement learning framework. Include implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG,…☆17Updated last year
- POMG algorithm for large-scale pursuit game with partial observation and no communication.☆20Updated last month
- 多智能体强化学习VDN、QMIX、QTRAN、QPLEX复现☆32Updated 2 years ago
- Codes for the paper "Consensus Learning for Cooperative Multi-Agent Reinforcement Learning"☆16Updated 2 years ago
- The code of paper "Learning Heterogeneous Strategies via Graph-based Multi-agent Reinforcement Learning in Mixed Cooperative-Competitive …☆14Updated 3 years ago
- This code is for the paper titled Path Planning for the Dynamic UAV-aided Wireless Systems Using Monte Carlo Tree Search, which is under…☆27Updated 3 years ago
- The Code of the paper: "ABCS Flocking: A Leader-Follower Collision Free UAV Flocking System with Multi-Agent Reinforcement Learning"☆14Updated 9 months ago
- ☆22Updated 4 years ago
- Multi-Agent Reinforcement Learning (MARL) method to learn scalable control polices for multi-agent target tracking.☆34Updated last year
- Implementations of MAPPO and IPPO on SMAC, the multi-agent StarCraft environment.☆65Updated 3 years ago
- Code for "ALMA: Hierarchical Learning for Composite Multi-Agent Tasks" NeurIPS 2022☆28Updated 2 years ago
- ☆14Updated 2 years ago
- An Gym based enviroment to evaluate Multi Uav Task Alocation Algorithm☆11Updated last year
- The deep reinforcement learning method for multi-robot task allocation problem SR-ST-TA☆42Updated 2 years ago
- Use Multi-agent Twin Delayed Deep Deterministic Policy Gradient(TD3) algorithm to find reasonable paths for ships☆62Updated 2 years ago
- MBaranPeker / Pursuit-Evasion-Game-with-Deep-Reinforcement-Learning-in-an-environment-with-an-obstacleIn this study, a multi agent chase-escape problem using Deep Q learning. Actors of the problem are smart evader and smart pursuers with o…☆23Updated last year
- created an environment of 10*10 grid and 4 UAVs to carry out coverage path planning cooperatively☆91Updated 3 years ago
- Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space☆43Updated 3 years ago
- Multi-agent Task Allocation (WAFR2022)☆25Updated 3 years ago