Learning Time-Invariant Reward Functions through Model-Based Inverse Reinforcement Learning.
Published in Arxiv, 2020
Recommended citation: Davchev, Todor, Sarah Bechtle, Subramanian Ramamoorthy, and Franziska Meier. "Learning Time-Invariant Reward Functions through Model-Based Inverse Reinforcement Learning." arXiv preprint arXiv:2107.03186 (2021). https://arxiv.org/pdf/2107.03186.pdf
In this work, we propose a formulation that allows us to 1) vary the length of execution by learning time-invariant costs, and 2) relax the temporal alignment requirements for learning from demonstration.