techyAdventure / Deep-Q-Networks-with-Dual-Memory-Architecture-GridWorldLinks
Completion of three Deep Q-Networks : Deep Q-Network (DQN), Double Deep Q-Network (DDQN), Double Dueling Deep Q-Network (D3QN)
☆10Updated 4 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
Sorting:
- Deep Reinforcement Learning (DRL) algorithms have been successfully applied to a range of challenging simulated continuous control single…☆52Updated 6 years ago
- Developed a Multi-Agent DDPG to solve Vehicle Scheduling problem.☆13Updated 2 years ago
- Source code of paper "A Hierarchical Reinforcement Learning Algorithm Based on Attention Mechanism for UAV Autonomous Navigation"☆22Updated 2 years ago
- Multi Agent adaptation of Soft Actor Critic Reinforcement Learning Algorithm☆20Updated 6 years ago
- This is a reinforcement learning algorithm library. The code takes into account both performance and simplicity, with little dependence.☆102Updated 3 years ago
- Use Multi-agent Twin Delayed Deep Deterministic Policy Gradient(TD3) algorithm to find reasonable paths for ships☆64Updated 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☆53Updated 11 months ago
- (ICML 2023) The official code for RACE: Improve Multi-Agent Reinforcement Learning with Representation Asymmetry and Collaborative Evolut…☆34Updated last year
- The code of paper "Learning Heterogeneous Strategies via Graph-based Multi-agent Reinforcement Learning in Mixed Cooperative-Competitive …☆15Updated 4 years ago
- Reference code for the paper ""Centroid-Guided Target-Driven Topology Control Method for UAV Ad-Hoc Networks Based on Tiny Deep Reinforce…☆10Updated 9 months ago
- RL Dresden Algorithm Suite☆31Updated last year
- demo of multi-agent reinforcement learning algorithms, such as ATT-MADDPG (Modelling the Dynamic Joint Policy of Teammates with Attention…☆60Updated 4 years ago
- using actor-critic method to dealing with the path-planning UAV problem☆19Updated 6 years ago
- Jax and Torch Multi-Agent SAC on PettingZoo API☆86Updated 8 months ago
- 多智能体强化学习VDN、QMIX、QTRAN、QPLEX复现☆32Updated 2 years ago
- POMG algorithm for large-scale pursuit game with partial observation and no communication.☆23Updated 5 months ago
- Implementations of MAPPO and IPPO on SMAC, the multi-agent StarCraft environment.☆72Updated 3 years ago
- UAV Logistics Environment for Multi-Agent Reinforcement Learning / Unity ML-Agents / Unity 3D☆101Updated last year
- Use Multi-Agent Deep Deterministic Policy Gradient(DDPG) algorithm to find reasonable paths for ships☆37Updated 2 years ago
- PyTorch implementation of MATD3☆13Updated 5 years ago
- The official code releasement of publications in MARL field of TJU RL lab.☆79Updated 3 years ago
- Code for "ALMA: Hierarchical Learning for Composite Multi-Agent Tasks" NeurIPS 2022☆30Updated 2 years ago
- Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space☆53Updated 3 years ago
- This repository is the official implementation of Learning Multi-Agent Coordination for Enhancing Target Coverage in Directional Sensor N…☆45Updated 4 years ago
- Codes for the paper "Consensus Learning for Cooperative Multi-Agent Reinforcement Learning"☆16Updated 2 years ago
- A pytorch implementation of Constrained Reinforcement Learning Algorithm, including Constrained Soft Actor Critic (Soft Actor Critic Lagr…☆41Updated 2 years ago
- created an environment of 10*10 grid and 4 UAVs to carry out coverage path planning cooperatively☆102Updated 3 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…☆24Updated 2 years ago
- Code for our paper: Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation☆118Updated last month
- Code for the RL method MATD3 described in the paper "Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics…☆86Updated 4 years ago