Maximilian Karl
Robotics Research (United States)(US)
Publications by Year
Research Areas
Reinforcement Learning in Robotics, Robot Manipulation and Learning, Explainable Artificial Intelligence (XAI), Gaussian Processes and Bayesian Inference, Muscle activation and electromyography studies
Most-Cited Works
- → Deep Variational Bayes Filters: Unsupervised Learning of State Space\n Models from Raw Data(2016)182 cited
- → Stable reinforcement learning with autoencoders for tactile and visual data(2016)141 cited
- → Dynamic movement primitives in latent space of time-dependent variational autoencoders(2016)57 cited
- → Unsupervised Real-Time Control Through Variational Empowerment(2022)32 cited
- → Learning to Fly via Deep Model-Based Reinforcement Learning(2020)24 cited
- → Variational Inference with Hamiltonian Monte Carlo(2016)14 cited
- → On the Role of the Action Space in Robot Manipulation Learning and Sim-to-Real Transfer(2024)11 cited
- → Continuum worm-like robotic mechanism with decentral control architecture(2014)7 cited