A simple discounted return calculator for Reinforcement Learning.
Project description
rl-discounted-return
A lightweight package to compute discounted cumulative returns — a key concept in Reinforcement Learning (RL).
Example Usage
from rldiscountedreturn_colab import discounted_return
rewards = [1, 1, 1, 1, 1]
gamma = 0.9
print(discounted_return(rewards, gamma)) # Output: 4.095
Author: Jinal Chhajer
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