Abluceli / Multi-agent-Reinforcement-Learning-Algorithms
Multi-agent Reinforcement Learning Algorithms(COMA, VDN, QMIX)
☆13Updated 4 years ago
Related projects: ⓘ
- 多智能体强化学习VDN、QMIX、QTRAN、QPLEX复现☆24Updated last year
- 用DDPG/MADDPG/DQN/MADDPG+advantage实验 OpenAI开源的MPE环境☆22Updated 6 years ago
- Code for the RL method MATD3 described in the paper "Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics…☆72Updated 3 years ago
- Project on multi agent reinforcement learning applied on patrolling agents☆38Updated 4 years ago
- Use Multi-agent Twin Delayed Deep Deterministic Policy Gradient(TD3) algorithm to find reasonable paths for ships☆43Updated last year
- Use Multi-Agent Deep Deterministic Policy Gradient(DDPG) algorithm to find reasonable paths for ships☆26Updated last year
- This is the source code of "Efficient training techniques for multi-agent reinforcement learning in combatant tasks".☆62Updated 3 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☆33Updated 3 weeks ago
- Jax and Torch Multi-Agent SAC on PettingZoo API☆56Updated last year
- Implementation of Deep Deterministic Policy Gradient (DDPG) with Prioritized Experience Replay (PER)☆44Updated 3 years ago
- demo of multi-agent reinforcement learning algorithms, such as ATT-MADDPG (Modelling the Dynamic Joint Policy of Teammates with Attention…☆42Updated 3 years ago
- my code for paper Parameterized-DQN☆19Updated 3 years ago
- MARLToolkit: The Multi-Agent Rainforcement Learning Toolkit. Include implementation of MAPPO, MADDPG, QMIX, VDN, COMA, IPPO, QTRAN, MAT..…☆102Updated 5 months ago
- Code for implementing/applying ODM*, PPO, MAAC, IC3Net and PRIMAL (PPO version) on a Multi-Agent gridworld environment.☆28Updated 3 years ago
- Transplant a implementation of MADDPG to the environment provided by openAI (multiagent-particle-envs).☆16Updated 6 years ago
- Implementations of MAPPO and IPPO on SMAC, the multi-agent StarCraft environment.☆54Updated 2 years ago
- MiniMax Multi-Agent Deep Deterministic Policy Gradient (M3DDPG) pytorch implementation☆10Updated 3 years ago
- a clean and robust Pytorch implementation of SAC on continuous action space☆53Updated 3 months ago
- ☆46Updated this week
- Codes for paper of 'Solving job scheduling problems in a resource preemption environment with multi-agent reinforcement learning'☆35Updated last year
- This is a reinforcement learning algorithm library. The code takes into account both performance and simplicity, with little dependence.☆89Updated 2 years ago
- ☆24Updated last year
- ☆10Updated 2 years ago
- implementation of MADDPG using PyTorch and multiagent-particle-envs☆28Updated 2 years ago
- ☆87Updated 2 years ago
- IQL, QMIX, VDN, COMA, QTRAN (QTRAN-Base and QTRAN-Alt), MAVEN, CommNet, DYMA-Cl, G2ANet, and MADDPG☆16Updated 2 years ago
- ICML 2019 RL for Real Life Workshop: Recurrent MADDPG for Partially Observable and Limited Communication Settings☆39Updated 4 years ago
- Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space☆29Updated 2 years ago
- PyTorch implementations of MADDPG, MAPPO (coming)☆63Updated 6 months ago
- Clean implementation of Multi-Agent Reinforcement Learning methods (MADDPG, MATD3, MASAC, MAD4PG) in TensorFlow 2.x☆122Updated 10 months ago