Related Issues (15)
- Look into how MA-PPO works
- Format the environment such that inputs work with MA-PPO
- Format the outputs of MA-PPO to work with the environment
- Automate the training process to allow for hyperparameter optimization
- Perform hyperparameter optimisation to find good hyperparameters
- Train the model to obtain a good model
- Save the resulting parameters in a reusable format (pickle, safetensors?)
- Train more models with smaller parts of the data
- Perform benchmarks on the runtime of the MA-PPO model compared to the PPO model
- Perform benchmarks on the performance of the MA-PPO model
- Compare the performance of the models trained with different portions of the training data
- Compare the performance of hte models when cooperating with itself compared to the model cooperating with the PPO model
- Look into feasibility of using a human based model
- Compare the performance of the model cooperating with itself with the model cooperating with the human model
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