Lightweight RL utility toolkit with n-step returns, discounted rewards, and moving averages.
Project description
RLUtils Dhrish
A lightweight Python package for core Reinforcement Learning utilities — ideal for students, researchers, and practitioners.
🚀 Features
- n_step_return: Compute n-step bootstrapped returns.
- discount_rewards: Compute discounted cumulative rewards.
- moving_average_rewards: Smooth episodic returns over time.
📦 Installation
pip install rlutils-dhrish
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