Sascha Lange

发表

Knowledge Discovery for Biodiversity : from Data Mining to Sign Management

A. A. Voinov R. Seppelt, Sascha Lange, Dagmar Bankamp, 2012 .

Calculating the Perfect Match: An Efficient and Accurate Approach for Robot Self-localization

Martin Lauer, Martin A. Riedmiller, Sascha Lange, 2005, RoboCup.

Learning to dribble on a real robot by success and failure

Martin Lauer, Martin A. Riedmiller, Roland Hafner, 2008, 2008 IEEE International Conference on Robotics and Automation.

Computational object recognition: a biologically motivated approach

Martin A. Riedmiller, Tim C. Kietzmann, Sascha Lange, 2009, Biological Cybernetics.

Evolution of Computer Vision Subsystems in Robot Navigation and Image Classification Tasks

Martin A. Riedmiller, Sascha Lange, S. Lange, 2004, RoboCup.

Making a Robot Learn to Play Soccer Using Reward and Punishment

Martin Lauer, Martin A. Riedmiller, Heiko Müller, 2007, KI.

The past and future of security-related satellite missions in Europe

Sascha Lange, 2010 .

Batch Reinforcement Learning

Martin A. Riedmiller, Martin Riedmiller, Sascha Lange, 2012, Reinforcement Learning.

Autonomous reinforcement learning on raw visual input data in a real world application

Martin A. Riedmiller, Sascha Lange, Arne Voigtländer, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

Learn to Swing Up and Balance a Real Pole Based on Raw Visual Input Data

Martin A. Riedmiller, Sascha Lange, Jan Mattner, 2012, ICONIP.

Real-time 3D Ball Recognition using Perspective and Catadioptric Cameras

Martin Lauer, Martin A. Riedmiller, Sascha Lange, 2007, EMCR.

3D-objecttracking with a mixed omnidirectional stereo camera system

Martin Lauer, Sascha Lange, Miriam Schönbein, 2011 .

Deep learning of visual control policies

Martin A. Riedmiller, Sascha Lange, S. Lange, 2010, ESANN.

Predicting Time Series with Space-Time Convolutional and Recurrent Neural Networks

Sascha Lange, Manuel Blum, Wolfgang Groß, 2017, ESANN.

Cognitive concepts in autonomous soccer playing robots

Martin Lauer, Martin A. Riedmiller, Roland Hafner, 2010, Cognitive Systems Research.

A Textual Recommender System for Clinical Data

Frank Jäkel, Sascha Lange, Roland Mertelsmann, 2018, ICCBR.

Modeling Moving Objects in a Dynamically Changing Robot Application

Martin Lauer, Martin A. Riedmiller, Sascha Lange, 2005, KI.

Deep auto-encoder neural networks in reinforcement learning

Martin A. Riedmiller, Sascha Lange, S. Lange, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

Improvement of a Web Browser Game Through the Knowledge Extracted from Player Behavior

José Neves, João Alves, Martin A. Riedmiller, 2013, KICSS.

Incremental GRLVQ: Learning relevant features for 3D object recognition

Martin A. Riedmiller, Tim C. Kietzmann, Sascha Lange, 2008, Neurocomputing.

Die Brainstormers: Entwurfsprinzipien lernfähiger autonomer Roboter

Martin Lauer, Martin A. Riedmiller, Roland Hafner, 2006, Informatik-Spektrum.

Appearance-Based Robot Discrimination Using Eigenimages

Martin A. Riedmiller, Sascha Lange, 2006, RoboCup.

Enhancing the episodic natural actor-critic algorithm by a regularisation term to stabilize learning of control structures

Kurt Geihs, Martin A. Riedmiller, Roland Reichle, 2011, 2011 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL).

Tiefes Reinforcement-Lernen auf Basis visueller Wahrnehmungen

Sascha Lange, S. Lange, 2010 .

Reinforcement learning for robot soccer

Martin A. Riedmiller, Roland Hafner, Sascha Lange, 2009, Auton. Robots.