rmod-snn

This project is an effort to implement a simplified implementation of a reinforcement learning agent operating on a POMDP, with the policy network modelled as a Spiking Neural Network.

Execution

The project uses python 3.7. Consider setting up a virtual environment for the project.

Run the file main.py with the relevant arguments to execute the model. A sample run is provided in the file run.sh.

./run.sh

References

• Reinforcement Learning Through Modulation of Spike-Timing-Dependent Synaptic Plasticity