zouchangjie / RL-Nash-Q-learning
强化学习中纳什Qlearning 实现矩阵博弈
☆29Updated 5 years ago
Alternatives and similar repositories for RL-Nash-Q-learning:
Users that are interested in RL-Nash-Q-learning are comparing it to the libraries listed below
- Nash Q Learning☆30Updated 4 years ago
- 多智能体强化学习VDN、QMIX、QTRAN、QPLEX复现☆29Updated last year
- RL projects including implementation of DQN/DDPG/MADDPG/BicNet on StarCraft II multi-agent learning environment SMAC☆45Updated 4 years ago
- Jax and Torch Multi-Agent SAC on PettingZoo API☆68Updated 2 months ago
- Implementations of MAPPO and IPPO on SMAC, the multi-agent StarCraft environment.☆60Updated 2 years ago
- demo of multi-agent reinforcement learning algorithms, such as ATT-MADDPG (Modelling the Dynamic Joint Policy of Teammates with Attention…☆52Updated 3 years ago
- Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space☆41Updated 2 years ago
- Multi-agent Reinforcement Learning Algorithms(COMA, VDN, QMIX)☆13Updated 4 years ago
- Algorithm that combines QMIX with SAC for Multi-Agent Reinforcement Learning.☆43Updated 2 years ago
- 🎾 Multi-Agent Proximal Policy Optimization approach to a competitive reinforcement learning problem☆19Updated 2 years ago
- Deep Reinforcement Learning (DRL) algorithms have been successfully applied to a range of challenging simulated continuous control single…☆49Updated 5 years ago
- 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
- my code for paper Parameterized-DQN☆21Updated 3 years ago
- Project on multi agent reinforcement learning applied on patrolling agents☆38Updated 5 years ago
- 用DDPG/MADDPG/DQN/MADDPG+advantage实验 OpenAI开源的MPE环境☆22Updated 6 years ago
- PyTorch implementation of Constrained Reinforcement Learning for Soft Actor Critic Algorithm☆39Updated 2 years ago
- Simple and efficient implementation of DQN DDPG TD3 SAC PPO MADDPG MAAC MAPPO☆18Updated 3 weeks ago
- A collection of multi agent environments based on OpenAI gym.☆21Updated last year
- Developed a Multi-Agent DDPG to solve Vehicle Scheduling problem.☆11Updated last year
- Lightweight multi-agent PPO for IEEE field.☆13Updated 2 years ago
- Codes for paper of 'Solving job scheduling problems in a resource preemption environment with multi-agent reinforcement learning'☆40Updated last year
- Multi-agent project (commnet, bicnet, maddpg) in pytorch for Multi-Agent Particle Environment☆113Updated 2 years ago
- 多智能体学习库☆17Updated 3 years ago
- RLToolkit is a flexible and high-efficient reinforcement learning framework. Include implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG,…☆17Updated last year
- Clean implementation of Multi-Agent Reinforcement Learning methods (MADDPG, MATD3, MASAC, MAD4PG) in TensorFlow 2.x☆139Updated last year
- pytorch实现的一些MARL算法☆65Updated 3 years ago
- Transplant a implementation of MADDPG to the environment provided by openAI (multiagent-particle-envs).☆17Updated 6 years ago
- Code for implementing/applying ODM*, PPO, MAAC, IC3Net and PRIMAL (PPO version) on a Multi-Agent gridworld environment.☆30Updated 3 years ago
- Re-produce DQN, REINFORCE, REINFORCE with baseline, one-step AC, QAC, QAC with shared network, PPO2, DDPG, TD3, SAC, SAC discrete,A2C,A3C☆19Updated 4 years ago
- DDPG in Pytorch☆42Updated 3 years ago