Marc Peter Deisenroth

Publications by Year

Research Areas

Gaussian Processes and Bayesian Inference, Reinforcement Learning in Robotics, Advanced Multi-Objective Optimization Algorithms, Machine Learning and Data Classification, Model Reduction and Neural Networks

Most-Cited Works

• → Deep Reinforcement Learning: A Brief Survey(2017)4,164 cited
• PILCO: A Model-Based and Data-Efficient Approach to Policy Search(2011)
• → A Brief Survey of Deep Reinforcement Learning(2017)750 cited
• → A Survey on Policy Search for Robotics(2011)680 cited
• → Gaussian Processes for Data-Efficient Learning in Robotics and Control(2013)648 cited
• → Mathematics for Machine Learning(2020)540 cited
• → Bayesian optimization for learning gaits under uncertainty(2015)284 cited
• → Learning to Control a Low-Cost Manipulator using Data-Efficient Reinforcement Learning(2011)216 cited
• → Manifold Gaussian Processes for regression(2016)212 cited
• → Gaussian process dynamic programming(2009)202 cited