Reinforcement learning demos and utilities
Project description
Abijith RL
Small reinforcement learning demos built on gymnasium.
Install
pip install abijith-rl
Usage
import abijith_rl as rl
mc_df = rl.montecarlo_code(num_episodes=200)
print(mc_df.head())
# Prints the full demo code string
rl.montecarlo()
td_df = rl.td_prediction(num_episodes=50)
print(td_df.head())
sarsa_df = rl.sarsa(num_episodes=200)
print(sarsa_df.head())
q_df = rl.q_learning(num_episodes=200)
print(q_df.head())
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