Multi_agent_deep_reinforcement_learning
Implement Google Deep Minds DQN for multiple agents for a grid world environment where vehicles must pick up customers.
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Drl_based_selfdrivingcarcontrol | 222 | 4 years ago | 12 | C# | ||||||
| Deep Reinforcement Learning (DQN) based Self Driving Car Control with Vehicle Simulator | ||||||||||
| Multi_agent_deep_reinforcement_learning | 16 | 6 years ago | 1 | Jupyter Notebook | ||||||
| Implement Google Deep Minds DQN for multiple agents for a grid world environment where vehicles must pick up customers. | ||||||||||
| Autonomous Vehicles Adaptive Cruise Control | 13 | 5 months ago | 4 | Python | ||||||
| An implementation of an Autonomous Vehicle Agent in CARLA simulator, using TF-Agents | ||||||||||
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Jupyter Notebook
Docker
Deep Learning
Reinforcement Learning
Vehicle
Deep Reinforcement Learning
Dqn