ID: 5dd86c9f503fb127005d3719

Deep Reversi_agent

by SHIVAM GARG

Deep reinforcement learning model to play Reversi game


License: Other

Tags: Reinforcement Learning DQN Reveri BOT

Ā Model stats and performance
Framework Other
OS Used Linux
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Inference time in seconds per sample.

Performance data is not available.

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Reinforcement LEARNING BOT TO PLAY REVERSI

WHAT IS IT?

The states are decided b the DQN then the agent is trained on the states.

HOW TO USE?

To run The Inference Script run this command python play.py --agent1 human

For help options run

python run.py -h

ARGUMENTS DETAILS HELP OPTIONS
--agent1 First agent human,random,greedy,weighted (default AI)
--agent2 Second agent human,random,greedy,weighted (default AI)
--num-episodes NUM OF GAMES The number of episodes to run consecutively.

WHAT ARE THE REQUIREMENTS?

To get all the requirements and dependencies installed run the command For GPU - pip install -r gpu_requirements.txt For CPU - pip install -r cpu_requirements.txt

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SHIVAM GARG
New Delhi, India
Level 41 74240 XP

3002 Profile
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A philosophy student cleverly disguised as a Coax Deep Learning engineer spending whole day, practically every day, experimenting with TensorFlow,Pytorch, and Caffe; dabbling with Python and C++; and drinking a wide variety of Coffee everyday.

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