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
Related projects ⓘ
Alternatives and complementary repositories for Deep-Q-Networks-with-Dual-Memory-Architecture-GridWorld
- Source code of paper "A Hierarchical Reinforcement Learning Algorithm Based on Attention Mechanism for UAV Autonomous Navigation"☆10Updated 2 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☆40Updated 2 months ago
- Attempt to reproduce and improve the implementation of the paper 'Improving Multi-Target Cooperative Tracking Guidance for UAV Swarms Usi…☆29Updated 5 months ago
- Use Multi-agent Twin Delayed Deep Deterministic Policy Gradient(TD3) algorithm to find reasonable paths for ships☆50Updated last year
- Implementations of MAPPO and IPPO on SMAC, the multi-agent StarCraft environment.☆57Updated 2 years ago
- Multi-Agent Deep Recurrent Q-Learning with Bayesian epsilon-greedy on AirSim simulator☆10Updated 2 years ago
- Use Multi-Agent Deep Deterministic Policy Gradient(DDPG) algorithm to find reasonable paths for ships☆28Updated 2 years ago
- An OpenAIGym-based framework allowing to test Delay-Aware Deep Reinforcement Learning algorithms for cooperative multi-UAV systems in ful…☆28Updated 3 months ago
- ☆17Updated 3 years ago
- Code for implementing/applying ODM*, PPO, MAAC, IC3Net and PRIMAL (PPO version) on a Multi-Agent gridworld environment.☆29Updated 3 years ago
- 多智能体强化学习VDN、QMIX、QTRAN、QPLEX复现☆26Updated last year
- Multi-UAV Adaptive Path Planning Using Deep Reinforcement Learning☆72Updated last year
- created an environment of 10*10 grid and 4 UAVs to carry out coverage path planning cooperatively☆81Updated 3 years ago
- Multi Agent SAC and DDPG applied to path finding in a 3-dimensional grid☆11Updated 3 years ago
- This is the source code of "Efficient training techniques for multi-agent reinforcement learning in combatant tasks".☆68Updated 4 years ago
- The Python implementation of the proposed framework in the paper Evolutionary Multi-Objective Deep Reinforcement Learning for Autonomous …☆16Updated last year
- RLToolkit is a flexible and high-efficient reinforcement learning framework. Include implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG,…☆17Updated 11 months ago
- Code for Deep Reinforcement Learning Based UAV Path Planning Algorithm in Agricultural Time-Constrained Data Collection☆16Updated last year
- ☆12Updated last year
- Deep reinforcement learning (DQN) implements robot path planning☆13Updated 4 years ago
- Deep Reinforcement Learning for Image-Based Multi-Agent Coverage Path Planning☆11Updated last year
- PyTorch implementations of MADDPG, MAPPO (coming)☆87Updated 8 months ago
- Multi-agent Reinforcement Learning Algorithms(COMA, VDN, QMIX)☆13Updated 4 years ago
- Multi-agent RL algorithms are applied to large-scale cooperative target searching mission☆29Updated last year
- This is a UAV path planning in a map-based environment using double deep Q-Network☆21Updated last year
- Developed a Multi-Agent DDPG to solve Vehicle Scheduling problem.☆11Updated last year
- Multi Agent Reinforcement Learning for Dense Path Planning☆27Updated 2 years ago
- POMG algorithm for large-scale pursuit game with partial observation and no communication.☆19Updated last year
- 基于生物启发式算法的多智能体强化学习算法☆13Updated 3 years ago
- Deep Reinforcement Learning (DRL) algorithms have been successfully applied to a range of challenging simulated continuous control single…☆49Updated 5 years ago