Shypd.aiThe largest open index of AI toolsReinforce is an AI Frameworks & Infra tool that provides a reinforcement learning algorithm package. It includes classic GridWorld and PuckWorld environments compatible with the Gym library, making it suitable for RL beginners.
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Reinforce is a comprehensive reinforcement learning algorithm package designed to help beginners understand how classic RL algorithms work in discrete observation spaces. It provides basic classes for modeling agent-environment interactions, including Transition, Episode, Experience, and Agent. The package features implementations of agents using SARSA, Q-learning, and SARSA(λ) algorithms. It also includes function approximators for Deep Reinforcement Learning. Reinforce offers two classic environments, GridWorld and PuckWorld, which are compatible with the Gym library. GridWorld supports various configurations like Windy Grid world and Cliff Walk, while PuckWorld provides a continuous observation state space for training agents with Deep Q-Learning Networks. The package also includes examples for understanding RL algorithms through dynamic programming.
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