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dumps
 
 
logs
logs
 
 
models
models
 
 
plots
plots
 
 
results
results
 
 
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.DS_Store
 
 
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.dockerignore
 
 
.gitignore
.gitignore
 
 
Dockerfile
Dockerfile
 
 
Ins_cost_vs_num_insured-Copy1.ipynb
Ins_cost_vs_num_insured-Copy1.ipynb
 
 
Ins_cost_vs_num_insured.ipynb
Ins_cost_vs_num_insured.ipynb
 
 
LICENSE
LICENSE
 
 
Micro_interactions-Copy1.ipynb
Micro_interactions-Copy1.ipynb
 
 
Micro_interactions.ipynb
Micro_interactions.ipynb
 
 
README.md
README.md
 
 
agent_util.py
agent_util.py
 
 
analysis.py
analysis.py
 
 
custom_ddpg_agent.py
custom_ddpg_agent.py
 
 
custom_dqn_agent.py
custom_dqn_agent.py
 
 
fetch_all_exp.py
fetch_all_exp.py
 
 
fetch_experiments.py
fetch_experiments.py
 
 
fractals_figure.py
fractals_figure.py
 
 
insurance_env.py
insurance_env.py
 
 
parameter_search.py
parameter_search.py
 
 
plots_results.py
plots_results.py
 
 
requirements.txt
requirements.txt
 
 
results_gridsearch.py
results_gridsearch.py
 
 
run_insurance.py
run_insurance.py
 
 
unbenannt0.py
unbenannt0.py
 
 

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Simulating emergent market behavior through Reinforcement Learning on the example of the insurance market

This repository contains the code used for the Master thesis of Valentin Koch. To run an experiment, run python run_insurance.py with the desired parameters.

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