zhouker94 / Multi-Agent-DRLLinks
Multiagent deep reinforcement learning research project
☆28Updated last year
Alternatives and similar repositories for Multi-Agent-DRL
Users that are interested in Multi-Agent-DRL are comparing it to the libraries listed below
Sorting:
- meta-MADDPG (Python implementation)☆19Updated 7 years ago
- ☆89Updated 4 years ago
- Distributed Multi-Agent Cooperation Algorithm based on MADDPG with prioritized batch data.☆107Updated 4 years ago
- Implementation of "Federated Control with Hierarchical Multi-Agent Deep Reinforcement Learning" (https://arxiv.org/pdf/1712.08266.pdf)☆39Updated 7 years ago
- scalable multi agents reinforcement learning☆63Updated 7 years ago
- Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG☆67Updated 6 years ago
- Code for Dynamic Weights in Multi-Objective Deep Reinforcement Learning☆102Updated 2 years ago
- BranchingDQN☆50Updated 6 years ago
- OpenAI Gym Environments for the Application of Reinforcement Learning in the Simulation of Wireless Networked Feedback Control Loops☆14Updated 4 years ago
- Clean implementation of Multi-Agent Reinforcement Learning methods (MADDPG, MATD3, MASAC, MAD4PG) in TensorFlow 2.x☆161Updated 2 years ago
- Project on multi agent reinforcement learning applied on patrolling agents☆40Updated 5 years ago
- The code for maddpg using pytorch☆170Updated 5 years ago
- qmix☆23Updated 5 years ago
- Decentralized deep multi-agent reinforcement learning in physical environments.☆14Updated 7 years ago
- Implementation of the paper Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation - https:/…☆88Updated 7 years ago
- Modular Multi-Objective Reinforcement Learning with Decision Values☆25Updated 2 years ago
- Wolpertinger Training with DDPG (Pytorch), Deep Reinforcement Learning in Large Discrete Action Spaces. Multi-GPU/Singer-GPU/CPU compatib…☆65Updated 2 years ago
- Dynamic Power Management using Reinforcement Learning for IoT devices.☆10Updated 4 years ago
- This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled …☆119Updated 11 months ago
- Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"☆221Updated 6 years ago
- Double Deep Q-Learning with Prioritized Experience Replay☆35Updated 7 years ago
- Code for the following publication: F. B. Mismar, J. Choi, and B. L. Evans, "A Framework for Automated Cellular Network Tuning with Rein…☆48Updated 3 years ago
- PyTorch implementation of the paper "Deep Reinforcement Learning in Large Discrete Action Spaces" (Gabriel Dulac-Arnold, Richard Evans, H…☆71Updated 5 years ago
- Implement Google Deep Minds DQN for multiple agents for a grid world environment where vehicles must pick up customers.☆29Updated 7 years ago
- Deep Q-learning (DQN) for Multi-agent Reinforcement Learning (RL)☆352Updated 5 years ago
- Nash Q Learning☆32Updated 4 years ago
- An open, minimalist Gymnasium environment for autonomous coordination in wireless mobile networks.☆137Updated 11 months ago
- ☆45Updated 3 years ago
- PyTorch implementation of discrete version of Soft Actor-Critic.☆36Updated 4 years ago
- research and implementations of Deep RL agents and their applications☆59Updated last month