xkiwilabs / Multi-Agent-DDPG-using-PTtorch-and-ML-Agents
A simple example of how to implement vector based DDPG for MARL tasks using PyTorch and a ML-Agents environment.
☆37Updated 6 years ago
Alternatives and similar repositories for Multi-Agent-DDPG-using-PTtorch-and-ML-Agents:
Users that are interested in Multi-Agent-DDPG-using-PTtorch-and-ML-Agents are comparing it to the libraries listed below
- A Pytorch Implementation of Multi Agent Soft Actor Critic☆40Updated 6 years ago
- Project on multi agent reinforcement learning applied on patrolling agents☆39Updated 5 years ago
- Cooperative Multi-goal Multi-stage Multi-agent Reinforcement Learning☆56Updated 2 years ago
- scalable multi agents reinforcement learning☆61Updated 7 years ago
- Code for the RL method MATD3 described in the paper "Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics…☆81Updated 4 years ago
- ☆85Updated 3 years ago
- Codes for Paper "Delay-Aware Multi-Agent Reinforcement Learning".☆52Updated 4 years ago
- ☆47Updated 5 years ago
- The official code releasement of publications in MARL field of TJU RL lab.☆74Updated 2 years ago
- ICML 2019 RL for Real Life Workshop: Recurrent MADDPG for Partially Observable and Limited Communication Settings☆48Updated 5 years ago
- Implementation of DyMA-CL, MARL algorithm☆27Updated 5 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
- Implement Google Deep Minds DQN for multiple agents for a grid world environment where vehicles must pick up customers.☆28Updated 7 years ago
- Distributed Multi-Agent Cooperation Algorithm based on MADDPG with prioritized batch data.☆104Updated 4 years ago
- Reinforcement Learning approaches for learning communication in Multi Agent Systems.☆18Updated 6 years ago
- Implementations of MAPPO and IPPO on SMAC, the multi-agent StarCraft environment.☆65Updated 3 years ago
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆166Updated last year
- ☆96Updated 3 years ago
- Deep recurrent Q learning on CartPole-v1 environment☆89Updated last year
- This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled …☆118Updated 5 months ago
- 用DDPG/MADDPG/DQN/MADDPG+advantage实验 OpenAI开源的MPE环境☆24Updated 6 years ago
- Transplant a implementation of MADDPG to the environment provided by openAI (multiagent-particle-envs).☆21Updated 4 years ago
- Transplant a implementation of MADDPG to the environment provided by openAI (multiagent-particle-envs).☆19Updated 7 years ago
- UAV Logistics Environment for Multi-Agent Reinforcement Learning / Unity ML-Agents / Unity 3D☆93Updated last year
- Code for paper 'Learning transferable cooperative behaviors in multi-agent teams' (ICML 2019)☆111Updated 2 years ago
- Multi Agent adaptation of Soft Actor Critic Reinforcement Learning Algorithm☆19Updated 6 years ago
- Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery☆102Updated 2 years ago
- PyTorch implementation of MATD3☆13Updated 5 years ago
- Value-Decomposition Multi-Agent Actor-Critics☆40Updated 2 years ago
- A novel DDPG method with prioritized experience replay (IEEE SMC 2017)☆50Updated 6 years ago