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

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abhiagni11/ROB538_Multiple_Chairbots_RL

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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.

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

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