Skip to content

Latest commit

 

History

History
12 lines (7 loc) · 385 Bytes

README.md

File metadata and controls

12 lines (7 loc) · 385 Bytes

ROB538_Multiple_Chairbots_RL

Multiagent learning for multiple chairbots in a restaurant setting. This code includes the basic structure for DQN learning using Pytorch.

In this codebase:

restaurant.py contains the environment class.

agent.py contains the agent class.

DQN.py contains the deep q-network classes, which uses Pytorch.

main.py is used to run the simulation.