Beginner-friendly reinforcement learning tutorial toolkit
Project description
rltutor
A simple, beginner-friendly reinforcement learning toolkit.
Installation
pip install rltutor-rohanajay
Usage
from rltutor import BanditEnv, EpsilonGreedyAgent, RLTrainer
env = BanditEnv(arms=[0.1, 0.5, 0.9]) agent = EpsilonGreedyAgent(epsilon=0.1, n_arms=3) trainer = RLTrainer(env, agent) trainer.train(episodes=1000) trainer.plot_results()
Features
- Features
- Multi-armed bandit environment
- Epsilon-greedy agent
- Visualization of reward progress
- Minimal dependencies
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