ID: 5dd86c9f503fb127005d3719
Deep Reversi_agent
by SHIVAM GARG
Deep reinforcement learning model to play Reversi game
License: Other
Tags:
Model stats and performance
| Framework | Other |
| OS Used | Linux |
| Publication | View |
Inference time in seconds per sample.
Performance data is not available.
Screenshots
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
Author View 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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