eescriba / smart-cities-drlLinks
Urban mobility simulations with Python3, RLlib (Deep Reinforcement Learning), Mesa (Agent-based modeling) and OpenAI Gym.
☆10Updated 2 years ago
Alternatives and similar repositories for smart-cities-drl
Users that are interested in smart-cities-drl are comparing it to the libraries listed below
Sorting:
- Official implementation of "Graph Neural Network Reinforcement Learning for Autonomous Mobility-on-Demand☆78Updated 4 years ago
- qmix☆22Updated 5 years ago
- multi-agent deep reinforcement learning for networked system control.☆419Updated 4 years ago
- Code for Dynamic Weights in Multi-Objective Deep Reinforcement Learning☆96Updated 2 years ago
- Nash Q Learning☆31Updated 4 years ago
- Paper list of multi-agent reinforcement learning (MARL)☆35Updated 3 years ago
- Effcient Ridesharing Dispatch Using Multi-Agent Reinforcement Learning☆50Updated 5 years ago
- Fully Cooperative Multi-Agent Deep Reinforcement Learning☆28Updated 5 years ago
- An open, minimalist Gymnasium environment for autonomous coordination in wireless mobile networks.☆131Updated 7 months ago
- Implementation of the Discrete Soft Actor-Critic algorithm with RNN policy in PyTorch☆27Updated 2 years ago
- ☆41Updated 3 years ago
- multi-agent deep reinforcement learning for large-scale traffic signal control.☆389Updated 3 years ago
- Clean implementation of Multi-Agent Reinforcement Learning methods (MADDPG, MATD3, MASAC, MAD4PG) in TensorFlow 2.x☆156Updated last year
- Deep Q-learning (DQN) for Multi-agent Reinforcement Learning (RL)☆347Updated 5 years ago
- Practical tutorial on RLlib for deep hierarchical multi-agent reinforcement learning☆65Updated 2 years ago
- Reinforcement learning environment for job scheduling written in python.☆25Updated 5 years ago
- Code snippets of Meta Reinforcement Learning algorithms☆38Updated last year
- Value-Decomposition Networks For Cooperative Multi-Agent Learning☆23Updated 4 years ago
- Multi-Agent Reinforcement Learning☆11Updated 5 years ago
- Source Code for A Closer Look at Invalid Action Masking in Policy Gradient Algorithms☆156Updated 2 years ago
- Deep recurrent Q learning on CartPole-v1 environment☆91Updated last year
- 多智能体强化学习(MARL)算法复现,包括QMIX,VDN,QTRAN、MAVEN等等☆202Updated 3 years ago
- Implementation for mSAC methods in PyTorch☆42Updated 3 years ago
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆180Updated last year
- Efficient Large-Scale Fleet Management via Multi-Agent Deep Reinforcement Learning☆213Updated 5 years ago
- The pytorch implementation of DGN on grid world and Starcraft☆144Updated 3 years ago
- Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG☆65Updated 6 years ago
- ☆85Updated 3 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
- Multi-Objective Deep Reinforcement Learning☆45Updated 8 years ago