2025
Cost Function Estimation Using Inverse Reinforcement Learning with Minimal Observations
IROS 2025
We present an iterative inverse reinforcement learning algorithm to infer optimal cost functions in continuous spaces. Based on a popular maximum entropy criteria, our approach iteratively finds a weight improvement step and proposes a method to find an appropriate step size that ensures learned cos