Interpretable and Fine-Grained Visual Explanations for Convolutional Neural Networks

no code implementations • 7 Aug 2019 • Jörg Wagner, Jan Mathias Köhler, Tobias Gindele, Leon Hetzel, Jakob Thaddäus Wiedemer, Sven Behnke

Our approach is based on a novel technique to defend against adversarial evidence (i. e. faulty evidence due to artefacts) by filtering gradients during optimization.

valid

Inverse Reinforcement Learning with Simultaneous Estimation of Rewards and Dynamics

no code implementations • 13 Apr 2016 • Michael Herman, Tobias Gindele, Jörg Wagner, Felix Schmitt, Wolfram Burgard

Inverse Reinforcement Learning (IRL) describes the problem of learning an unknown reward function of a Markov Decision Process (MDP) from observed behavior of an agent.

reinforcement-learning Reinforcement Learning (RL) +1