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Model-Free Episodic Control with Optical Random Features

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This is the code to reproduce the video of the Tackling Reinforcement Learning with the Aurora OPU blog post on Medium.

Requirements

Please install required Python packages with pip install -r requirements.txt.

Reproducing our results

To run the script with the Atari 2600 version of the MsPacman game, execute in the shell:

python main.py --env="MsPacman-v0"

This creates a video file bestrun.mp4 of the best recorded run.

To see available commands, use python main.py --help.

Access to Optical Processing Units

To request access to LightOn Cloud and try our photonic co-processor, please visit: https://cloud.lighton.ai/

For researchers, we also have a LightOn Cloud for Research program, please visit https://cloud.lighton.ai/lighton-research/ for more information.

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Code to perform Model-Free Episodic Control using Aurora OPUs

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