Martin Riedmiller - Concepedia

Author

Martin Riedmiller

Also Known As

D. Ricci, George van den Driessche, M Riedmiller, M. Riedmiller, Martin Riedmiller, PRETTO, ALBERTO, Riedmiller, M, Riedmiller, Martin, Riedmiller, Martin A.

230

Publications

54.8K

Citations

H-Index

105

Concepts

All Affiliations

University of Freiburg Osnabrück University Google (United States)Karlsruhe Institute of Technology Google DeepMind (United Kingdom)

About

Martin Riedmiller is an author at University of Freiburg specializing in engineering, robot learning, and computer science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	41	69	48.5K
2	Education	6	6	847
3	Business	3	3	64
4	Health Sciences	2	2	141
5	Natural Sciences	1	1	16

Martin Riedmiller

Publications

52.8K

Citations

H-Index

Page 1

	Year	Citations
Human-level control through deep reinforcement learning Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Nature Artificial IntelligenceEngineeringDeep Reinforcement LearningReinforcement Learning (Educational Psychology)Computer Science	2015	28.8K
Playing Atari with Deep Reinforcement Learning Volodymyr Mnih, Koray Kavukcuoglu, David Silver, arXiv (Cornell University) Artificial IntelligenceConvolutional Neural NetworkReward HackingEngineeringMachine Learning	2013	5.1K
A direct adaptive method for faster backpropagation learning: the RPROP algorithm Martin Riedmiller, Heinrich Braun IEEE International Conference on Neural Networks Artificial IntelligenceIncremental LearningEngineeringMachine LearningRprop Algorithm	2002	3.9K
Striving for Simplicity: The All Convolutional Net Jost Tobias Springenberg, Alexey Dosovitskiy, Thomas Brox, arXiv (Cornell University) Image ClassificationConvolutional Neural NetworkMachine VisionMachine LearningData Science	2014	2.6K
Deterministic policy gradient algorithms David Silver, Guy Lever, Nicolas Heess, HAL (Le Centre pour la Communication Scientifique Directe)	2014	1.7K
Discriminative Unsupervised Feature Learning with Exemplar Convolutional Neural Networks Alexey Dosovitskiy, Philipp Fischer, Jost Tobias Springenberg, IEEE Transactions on Pattern Analysis and Machine Intelligence Image ClassificationConvolutional Neural NetworkMachine VisionMachine LearningData Science	2015	738
Emergence of Locomotion Behaviours in Rich Environments Nicolas Heess, Dhruva Tb, Sriram Srinivasan, arXiv (Cornell University) Artificial IntelligenceReward FunctionEngineeringEducationMotor Control	2017	667
Magnetic control of tokamak plasmas through deep reinforcement learning Jonas Degrave, F. Felici, Jonas Buchli, Nature	2022	651
Discriminative Unsupervised Feature Learning with Convolutional Neural Networks Alexey Dosovitskiy, Jost Tobias Springenberg, Martin Riedmiller, arXiv (Cornell University)	2014	648
Advanced supervised learning in multi-layer perceptrons — From backpropagation to adaptive learning algorithms Martin Riedmiller Computer Standards & Interfaces Artificial IntelligenceMulti-layer PerceptronsIncremental LearningEngineeringMachine Learning	1994	594

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