Interpretable Reinforcement Learning for Robotics and Continuous Control

Rohan Paleja, Letian Chen, Yaru Niu +10

Interpretability in machine learning is critical for the safe deployment of learned policies across legally-regulated and safety-critical domains. While gradient-based approaches i…