This Python Library ‘Imitation,’ Provides Open-Source Implementations of Imitation and Reward Learning Algorithms in PyTorch

In areas with clearly defined reward functions, like games, reinforcement learning (RL) has outperformed human performance. Unfortunately, it is difficult or impossible for many tasks in the real world to design the reward function procedurally. Instead, they must immediately absorb a reward function or policy from user feedback. Furthermore, even when a reward function can […]

The post This Python Library ‘Imitation,’ Provides Open-Source Implementations of Imitation and Reward Learning Algorithms in PyTorch appeared first on MarkTechPost.

ai paper summary ai shorts algorithms applications artificial intelligence country design editors pick function functions games human human performance library machine learning performance policy python pytorch reinforcement reinforcement learning staff tech news technology uc berkeley university research usa world