Search Results for author:
Found 1 papers, 0 papers with code
Stable Inverse Reinforcement Learning: Policies from Control Lyapunov Landscapes
A common method to solve this problem is inverse reinforcement learning (IRL), where the observed agent, e. g., a human demonstrator, is assumed to behave according to the optimization of an intrinsic cost function that reflects its intent and informs its control actions.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
