Shypd.aiThe largest open index of AI toolsirl-imitation is an open-source implementation of Inverse Reinforcement Learning (IRL) algorithms in Python/Tensorflow. It includes Deep MaxEnt, MaxEnt, and LPIRL for various MDPs.
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irl-imitation provides a Python/Tensorflow implementation of several Inverse Reinforcement Learning (IRL) algorithms. Key algorithms include Linear Inverse Reinforcement Learning (Ng & Russell, 2000), Maximum Entropy Inverse Reinforcement Learning (Ziebart et al., 2008), and Maximum Entropy Deep Inverse Reinforcement Learning (Wulfmeier et al., 2015). The tool also features implementations for 2D and 1D gridworld Markov Decision Processes (MDPs) and a Value Iteration solver. It's designed for researchers and developers working on reinforcement learning and imitation learning tasks, offering a practical codebase for experimenting with and applying these advanced algorithms.
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