gingkg / multiagent-particle-envs
多智能体小球强化学习环境
☆18Updated 4 years ago
Alternatives and similar repositories for multiagent-particle-envs:
Users that are interested in multiagent-particle-envs are comparing it to the libraries listed below
- 多智能体强化学习VDN、QMIX、QTRAN、QPLEX复现☆32Updated last year
- 多智能体强化学习☆90Updated 6 years ago
- Algorithm that combines QMIX with SAC for Multi-Agent Reinforcement Learning.☆46Updated 2 years ago
- 多智能体强化学习（MARL）算法复现，包括QMIX，VDN，QTRAN、MAVEN等等☆195Updated 2 years ago
- implementation of MADDPG using PettingZoo and PyTorch☆135Updated last year
- Simple and efficient implementation of DQN DDPG TD3 SAC PPO MADDPG MAAC MAPPO HAPPO MAT MORL☆35Updated last month
- Multi-agent Reinforcement Learning Algorithms(COMA, VDN, QMIX)☆14Updated 4 years ago
- Jax and Torch Multi-Agent SAC on PettingZoo API☆72Updated 4 months ago
- Implementations of MAPPO and IPPO on SMAC, the multi-agent StarCraft environment.☆63Updated 3 years ago
- ☆43Updated 5 years ago
- demo of multi-agent reinforcement learning algorithms, such as ATT-MADDPG (Modelling the Dynamic Joint Policy of Teammates with Attention…☆54Updated 3 years ago
- a clean and robust Pytorch implementation of SAC on continuous action space☆71Updated 9 months ago
- 多智能体学习库☆18Updated 3 years ago
- Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space☆42Updated 3 years ago
- 基于强化学习的空战对抗☆68Updated 3 years ago
- MARLToolkit: The Multi-Agent Rainforcement Learning Toolkit. Include implementation of MAPPO, MADDPG, QMIX, VDN, COMA, IPPO, QTRAN, MAT..…☆121Updated 11 months ago
- TD3 in Pytorch☆31Updated 3 years ago
- 强化学习中纳什Qlearning 实现矩阵博弈☆30Updated 6 years ago
- Code for implementing/applying ODM*, PPO, MAAC, IC3Net and PRIMAL (PPO version) on a Multi-Agent gridworld environment.☆33Updated 4 years ago
- This is a reinforcement learning algorithm library. The code takes into account both performance and simplicity, with little dependence.☆97Updated 2 years ago
- PyTorch implementations of MADDPG, MAPPO (coming)☆127Updated last year
- Code for the RL method MATD3 described in the paper "Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics…☆79Updated 4 years ago
- Use Multi-agent Twin Delayed Deep Deterministic Policy Gradient(TD3) algorithm to find reasonable paths for ships☆61Updated 2 years ago
- The state-of-the-art in multi-agent Reinforcement Learning is the MADDPG algorithm which utilises DDPG actor-critic neural networks where…☆27Updated 5 years ago
- implementation of MADDPG using PyTorch and multiagent-particle-envs☆35Updated 2 years ago
- MiniMax Multi-Agent Deep Deterministic Policy Gradient (M3DDPG) pytorch implementation☆10Updated 4 years ago
- Use Multi-Agent Deep Deterministic Policy Gradient(DDPG) algorithm to find reasonable paths for ships☆33Updated 2 years ago
- Solve BipedalWalkerHardcore-v2 with TD3☆85Updated last year
- A collection of multi agent environments based on OpenAI gym.☆23Updated last year
- Clean implementation of Multi-Agent Reinforcement Learning methods (MADDPG, MATD3, MASAC, MAD4PG) in TensorFlow 2.x☆143Updated last year