Martin A. Riedmiller

According to our database1, Martin A. Riedmiller authored at least 111 papers between 1996 and 2018.

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Bibliography

2018
Maximum a Posteriori Policy Optimisation.
CoRR, 2018

Graph networks as learnable physics engines for inference and control.
CoRR, 2018

Learning by Playing - Solving Sparse Reward Tasks from Scratch.
CoRR, 2018

DeepMind Control Suite.
CoRR, 2018

Graph Networks as Learnable Physics Engines for Inference and Control.
Proceedings of the 35th International Conference on Machine Learning, 2018

Learning by Playing Solving Sparse Reward Tasks from Scratch.
Proceedings of the 35th International Conference on Machine Learning, 2018

Controlling biological neural networks with deep reinforcement learning.
Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

2017
Leveraging Demonstrations for Deep Reinforcement Learning on Robotics Problems with Sparse Rewards.
CoRR, 2017

Data-efficient Deep Reinforcement Learning for Dexterous Manipulation.
CoRR, 2017

PVEs: Position-Velocity Encoders for Unsupervised Learning of Structured State Representations.
CoRR, 2017

Emergence of Locomotion Behaviours in Rich Environments.
CoRR, 2017

2016
Autonomous Optimization of Targeted Stimulation of Neuronal Networks.
PLoS Computational Biology, 2016

Discriminative Unsupervised Feature Learning with Exemplar Convolutional Neural Networks.
IEEE Trans. Pattern Anal. Mach. Intell., 2016

Learning and Transfer of Modulated Locomotor Controllers.
CoRR, 2016

2015
Human-level control through deep reinforcement learning.
Nature, 2015

Autonomous Learning of State Representations for Control: An Emerging Field Aims to Autonomously Learn State Representations for Reinforcement Learning Agents from Their Real-World Sensor Observations.
KI, 2015

Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images.
CoRR, 2015

Multimodal Deep Learning for Robust RGB-D Object Recognition.
CoRR, 2015

Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Multimodal deep learning for robust RGB-D object recognition.
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

2014
Striving for Simplicity: The All Convolutional Net.
CoRR, 2014

Discriminative Unsupervised Feature Learning with Convolutional Neural Networks.
CoRR, 2014

Discriminative Unsupervised Feature Learning with Convolutional Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

A brain-computer interface for high-level remote control of an autonomous, reinforcement-learning-based robotic system for reaching and grasping.
Proceedings of the 19th International Conference on Intelligent User Interfaces, 2014

Approximate model-assisted Neural Fitted Q-Iteration.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Deterministic Policy Gradient Algorithms.
Proceedings of the 31th International Conference on Machine Learning, 2014

Approximate real-time optimal control based on sparse Gaussian process models.
Proceedings of the 2014 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2014

2013
Improving Deep Neural Networks with Probabilistic Maxout Units.
CoRR, 2013

Playing Atari with Deep Reinforcement Learning.
CoRR, 2013

Improvement of a Web Browser Game Through the Knowledge Extracted from Player Behavior.
Proceedings of the Knowledge, Information and Creativity Support Systems: Recent Trends, Advances and Solutions - Selected Papers from KICSS'2013, 2013

Acquiring visual servoing reaching and grasping skills using neural reinforcement learning.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Learning machines that perceive, act and communicate.
Proceedings of the 2nd Workshop on Machine Learning for Interactive Systems, 2013

Optimization of Gaussian process hyperparameters using Rprop.
Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013

Electricity Demand Forecasting using Gaussian Processes.
Proceedings of the Trading Agent Design and Analysis, 2013

2012
10 Steps and Some Tricks to Set up Neural Reinforcement Controllers.
Proceedings of the Neural Networks: Tricks of the Trade - Second Edition, 2012

Unsupervised Learning of Local Features for Music Classification.
Proceedings of the 13th International Society for Music Information Retrieval Conference, 2012

Taming the reservoir: Feedforward training for recurrent neural networks.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Autonomous reinforcement learning on raw visual input data in a real world application.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

A learned feature descriptor for object recognition in RGB-D data.
Proceedings of the IEEE International Conference on Robotics and Automation, 2012

Learning Temporal Coherent Features through Life-Time Sparsity.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

Learn to Swing Up and Balance a Real Pole Based on Raw Visual Input Data.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

2011
Reinforcement learning in feedback control - Challenges and benchmarks from technical process control.
Machine Learning, 2011

Enhancing the episodic natural actor-critic algorithm by a regularisation term to stabilize learning of control structures.
Proceedings of the 2011 IEEE Symposium on Adaptive Dynamic Programming And Reinforcement Learning, 2011

Improved neural fitted Q iteration applied to a novel computer gaming and learning benchmark.
Proceedings of the 2011 IEEE Symposium on Adaptive Dynamic Programming And Reinforcement Learning, 2011

2010
Cognitive concepts in autonomous soccer playing robots.
Cognitive Systems Research, 2010

On Progress in RoboCup: The Simulation League Showcase.
Proceedings of the RoboCup 2010: Robot Soccer World Cup XIV [papers from the 14th annual RoboCup International Symposium, 2010

Deep auto-encoder neural networks in reinforcement learning.
Proceedings of the International Joint Conference on Neural Networks, 2010

Deep learning of visual control policies.
Proceedings of the ESANN 2010, 2010

2009
Efficient Identification of State in Reinforcement Learning.
KI, 2009

Computational object recognition: a biologically motivated approach.
Biological Cybernetics, 2009

Reinforcement learning for robot soccer.
Auton. Robots, 2009

The Neuro Slot Car Racer: Reinforcement Learning in a Real World Setting.
Proceedings of the International Conference on Machine Learning and Applications, 2009

09371 Abstracts Collection - Algorithmic Methods for Distributed Cooperative Systems.
Proceedings of the Algorithmic Methods for Distributed Cooperative Systems, 06.09., 2009

2008
Incremental GRLVQ: Learning relevant features for 3D object recognition.
Neurocomputing, 2008

A Case Study on Improving Defense Behavior in Soccer Simulation 2D: The NeuroHassle Approach.
Proceedings of the RoboCup 2008: Robot Soccer World Cup XII [papers from the 12th annual RoboCup International Symposium, 2008

Joint Equilibrium Policy Search for Multi-Agent Scheduling Problems.
Proceedings of the Multiagent System Technologies, 6th German Conference, 2008

Learning to dribble on a real robot by success and failure.
Proceedings of the 2008 IEEE International Conference on Robotics and Automation, 2008

Evaluation of Batch-Mode Reinforcement Learning Methods for Solving DEC-MDPs with Changing Action Sets.
Proceedings of the Recent Advances in Reinforcement Learning, 8th European Workshop, 2008

Increasing Precision of Credible Case-Based Inference.
Proceedings of the Advances in Case-Based Reasoning, 9th European Conference, 2008

Reinforcement learning for DEC-MDPs with changing action sets and partially ordered dependencies.
Proceedings of the 7th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2008), 2008

2007
Making a Robot Learn to Play Soccer Using Reward and Punishment.
Proceedings of the KI 2007: Advances in Artificial Intelligence, 2007

Neural Reinforcement Learning Controllers for a Real Robot Application.
Proceedings of the 2007 IEEE International Conference on Robotics and Automation, 2007

An Analysis of Case-Based Value Function Approximation by Approximating State Transition Graphs.
Proceedings of the Case-Based Reasoning Research and Development, 2007

Learning to Drive a Real Car in 20 Minutes.
Proceedings of the Frontiers in the Convergence of Bioscience and Information Technologies 2007, 2007

Reinforcement learning in a nutshell.
Proceedings of the ESANN 2007, 2007

Real-time 3D Ball Recognition using Perspective and Catadioptric Cameras.
Proceedings of the 3rd European Conference on Mobile Robots, 2007

Safe Q-Learning on Complete History Spaces.
Proceedings of the Machine Learning: ECML 2007, 2007

Scaling Adaptive Agent-Based Reactive Job-Shop Scheduling to Large-Scale Problems.
Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Scheduling, 2007

On Experiences in a Complex and Competitive Gaming Domain: Reinforcement Learning Meets RoboCup.
Proceedings of the 2007 IEEE Symposium on Computational Intelligence and Games, 2007

2006
Learning a Partial Behavior for a Competitive Robotic Soccer Agent.
KI, 2006

Die Brainstormers: Entwurfsprinzipien lernfähiger autonomer Roboter.
Informatik Spektrum, 2006

Appearance-Based Robot Discrimination Using Eigenimages.
Proceedings of the RoboCup 2006: Robot Soccer World Cup X, 2006

Multi-agent Case-Based Reasoning for Cooperative Reinforcement Learners.
Proceedings of the Advances in Case-Based Reasoning, 8th European Conference, 2006

Reducing policy degradation in neuro-dynamic programming.
Proceedings of the ESANN 2006, 2006

06251 Abstracts Collection - Multi-Robot Systems: Perception, Behaviors, Learning, and Action.
Proceedings of the Multi-Robot Systems: Perception, Behaviors, Learning, and Action, 19.06., 2006

2005
Effective Methods for Reinforcement Learning in Large Multi-Agent Domains.
it - Information Technology, 2005

Learning policies for abstract state spaces.
Proceedings of the IEEE International Conference on Systems, 2005

Comparing different methods to speed up reinforcement learning in a complex domain.
Proceedings of the IEEE International Conference on Systems, 2005

Neural reinforcement learning to swing-up and balance a real pole.
Proceedings of the IEEE International Conference on Systems, 2005

Calculating the Perfect Match: An Efficient and Accurate Approach for Robot Self-localization.
Proceedings of the RoboCup 2005: Robot Soccer World Cup IX, 2005

Reinforcement Learning Using a Grid Based Function Approximator.
Proceedings of the Biomimetic Neural Learning for Intelligent Robots, 2005

Modeling Moving Objects in a Dynamically Changing Robot Application.
Proceedings of the KI 2005: Advances in Artificial Intelligence, 2005

CBR for State Value Function Approximation in Reinforcement Learning.
Proceedings of the Case-Based Reasoning, 2005

Neural Fitted Q Iteration - First Experiences with a Data Efficient Neural Reinforcement Learning Method.
Proceedings of the Machine Learning: ECML 2005, 2005

2004
Fynesse: An architecture for integrating prior knowledge in autonomously learning agents.
Soft Comput., 2004

Invited talks.
KI, 2004

RoboCup-2003: New Scientific and Technical Advances.
AI Magazine, 2004

Evolution of Computer Vision Subsystems in Robot Navigation and Image Classification Tasks.
Proceedings of the RoboCup 2004: Robot Soccer World Cup VIII, 2004

Machine Learning for Autonomous Robots.
Proceedings of the KI 2004: Advances in Artificial Intelligence, 2004

Reinforcement Learning for Stochastic Cooperative Multi-Agent Systems.
Proceedings of the 3rd International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2004), 2004

2003
Reinforcement learning on explicitly specified time scales.
Neural Computing and Applications, 2003

Overview of RoboCup 2003 Competition and Conferences.
Proceedings of the RoboCup 2003: Robot Soccer World Cup VII, 2003

RoboCup: Yesterday, Today, and Tomorrow Workshop of the Executive Committee in Blaubeuren, October 2003.
Proceedings of the RoboCup 2003: Robot Soccer World Cup VII, 2003

Reinforcement learning on an omnidirectional mobile robot.
Proceedings of the 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems, Las Vegas, Nevada, USA, October 27, 2003

The Smaller the Better: Comparison of Two Approaches for Sales Rate Prediction.
Proceedings of the Advances in Intelligent Data Analysis V, 2003

Learning to Control at Multiple Time Scales.
Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003

2002
Speeding-up Reinforcement Learning with Multi-step Actions.
Proceedings of the Artificial Neural Networks, 2002

2001
Karlsruhe Brainstormers - A Reinforcement Learning Approach to Robotic Soccer.
Proceedings of the RoboCup 2001: Robot Soccer World Cup V, 2001

2000
Karlsruhe Brainstormers - A Reinforcement Learning Approach to Robotic Soccer.
Proceedings of the RoboCup 2000: Robot Soccer World Cup IV, 2000

Karlsruhe Brainstormers 2000 Team Description.
Proceedings of the RoboCup 2000: Robot Soccer World Cup IV, 2000

Learning Situation Dependent Success Rates of Actions in a RoboCup Scenario.
PRICAI, 2000

An Algorithm for Distributed Reinforcement Learning in Cooperative Multi-Agent Systems.
Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000

Reinforcement Learning for Cooperating and Communicating Reactive Agents in Electrical Power Grids.
Proceedings of the Balancing Reactivity and Social Deliberation in Multi-Agent Systems, 2000

1999
Concepts and Facilities of a Neural Reinforcement Learning Control Architecture for Technical Process Control.
Neural Computing and Applications, 1999

Karlsruhe Brainstormers - Design Principles.
Proceedings of the RoboCup-99: Robot Soccer World Cup III, 1999

A Neural Reinforcement Learning Approach to Learn Local Dispatching Policies in Production Scheduling.
Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, 1999

Distributed Value Functions.
Proceedings of the Sixteenth International Conference on Machine Learning (ICML 1999), Bled, Slovenia, June 27, 1999

1998
A Neural Approach for the Control of Piezoelectric Micromanipulation Robots.
Journal of Intelligent and Robotic Systems, 1998

1997
Selbständig lernende neuronale Steuerungen.
PhD thesis, 1997

Application of a self-learning controller with continuous control signals based on the DOE-approach.
Proceedings of the ESANN 1997, 1997

1996
Fast Network Pruning and Feature Extraction by using the Unit-OBS Algorithm.
Proceedings of the Advances in Neural Information Processing Systems 9, 1996


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