eescriba / smart-cities-drl
Urban mobility simulations with Python3, RLlib (Deep Reinforcement Learning), Mesa (Agent-based modeling) and OpenAI Gym.
☆9Updated last year
Related projects ⓘ
Alternatives and complementary repositories for smart-cities-drl
- Implement Google Deep Minds DQN for multiple agents for a grid world environment where vehicles must pick up customers.☆27Updated 6 years ago
- A Python library for executing AnyLogic models☆35Updated 2 months ago
- Job Scheduling Simulator for Reinforcement Learning Models☆18Updated 5 years ago
- The code for the SRDQN algorithm to train an agent for the beer game problem☆76Updated last year
- Reinforcement learning environment for job scheduling written in python.☆23Updated 4 years ago
- Agent Based Fire Evacuation Model built using Project Mesa☆37Updated last year
- This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled …☆114Updated 2 weeks ago
- Simulation and reinforcement learning framework for production planning and control of complex job shop manufacturing systems☆111Updated 2 years ago
- Nash Q Learning☆30Updated 3 years ago
- ☆18Updated 3 years ago
- Code for Dynamic Weights in Multi-Objective Deep Reinforcement Learning☆88Updated last year
- Maximum Entropy Inverse Reinforcement Learning for predicting pedestrian movement☆9Updated 6 years ago
- Personal experiments on Reinforcement Learning☆106Updated 3 years ago
- An OpenAI Gym environment for Inventory Control problems☆54Updated 4 years ago
- Official implementation of "Graph Neural Network Reinforcement Learning for Autonomous Mobility-on-Demand☆71Updated 3 years ago
- My reproduction of various reinforcement learning algorithms (DQN variants, A3C, DPPO, RND with PPO) in Tensorflow.☆36Updated last year
- ☆88Updated last year
- The state-of-the-art in multi-agent Reinforcement Learning is the MADDPG algorithm which utilises DDPG actor-critic neural networks where…☆23Updated 5 years ago
- Effcient Ridesharing Dispatch Using Multi-Agent Reinforcement Learning☆46Updated 4 years ago
- PyTorch implementation of Foerster, Jakob N., et al. "Counterfactual multi-agent policy gradients."☆53Updated 4 years ago
- ☆71Updated 5 years ago
- Code for implementing/applying ODM*, PPO, MAAC, IC3Net and PRIMAL (PPO version) on a Multi-Agent gridworld environment.☆29Updated 3 years ago
- Dynamic Pricing BwK Problem and Reinforcement Learning☆29Updated 5 years ago
- ☆20Updated 5 years ago
- ☆37Updated 2 years ago
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆146Updated 7 months ago
- An OpenAI gym multi-agent environment implementing the Commons Game proposed in "A multi-agent reinforcement learning model of common-poo…☆20Updated 4 years ago
- Paper list of multi-agent reinforcement learning (MARL)☆25Updated 3 years ago
- qmix☆22Updated 4 years ago
- Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery☆96Updated 2 years ago