yrlu/irl-imitation
Implementation of Inverse Reinforcement Learning (IRL) algorithms in Python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL
This helps robotics researchers and AI developers understand the underlying reward function that drives an agent's observed behavior. You input demonstrations of an agent navigating a gridworld, and it outputs a reward map indicating what the agent is trying to achieve. It is ideal for those working on imitation learning or behavior modeling.
667 stars. No commits in the last 6 months.
Use this if you need to infer the reward function guiding an agent's actions from observed trajectory data in a gridworld environment.
Not ideal if you are looking for a tool to directly control an agent's actions or if your agent's environment is not a gridworld.
Stars
667
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147
Language
Python
License
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Last pushed
May 10, 2024
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