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Reinforcement Learning in Real-World Control Systems
Martin Riedmiller
Author Information
Martin Riedmiller (DeepMind)
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2021 : Is Curiosity All You Need? On the Utility of Emergent Behaviours from Curious Exploration »
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2022 : Fifteen-minute Competition Overview Video »
Nico Gürtler · Georg Martius · Pavel Kolev · Sebastian Blaes · Manuel Wuethrich · Markus Wulfmeier · Cansu Sancaktar · Martin Riedmiller · Arthur Allshire · Bernhard Schölkopf · Annika Buchholz · Stefan Bauer -
2022 Competition: Real Robot Challenge III - Learning Dexterous Manipulation from Offline Data in the Real World »
Nico Gürtler · Georg Martius · Sebastian Blaes · Pavel Kolev · Cansu Sancaktar · Stefan Bauer · Manuel Wuethrich · Markus Wulfmeier · Martin Riedmiller · Arthur Allshire · Annika Buchholz · Bernhard Schölkopf -
2021 : Panel A: Deployable Learning Algorithms for Embodied Systems »
Shuran Song · Martin Riedmiller · Nick Roy · Aude G Billard · Angela Schoellig · SiQi Zhou -
2021 Poster: Is Bang-Bang Control All You Need? Solving Continuous Control with Bernoulli Policies »
Tim Seyde · Igor Gilitschenski · Wilko Schwarting · Bartolomeo Stellato · Martin Riedmiller · Markus Wulfmeier · Daniela Rus -
2018 Workshop: Infer to Control: Probabilistic Reinforcement Learning and Structured Control »
Leslie Kaelbling · Martin Riedmiller · Marc Toussaint · Igor Mordatch · Roy Fox · Tuomas Haarnoja -
2017 Workshop: Acting and Interacting in the Real World: Challenges in Robot Learning »
Ingmar Posner · Raia Hadsell · Martin Riedmiller · Markus Wulfmeier · Rohan Paul -
2015 Poster: Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images »
Manuel Watter · Jost Springenberg · Joschka Boedecker · Martin Riedmiller