Making a Robot Learn to Play Soccer Using Reward and Punishment


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by Heiko Müller , Martin Lauer , Sascha Lange , Artur Merke , Martin Riedmiller
Citations:4 - 1 self

Active Bibliography

2 Reinforcement Learning in a Nutshell – V. Heidrich-meisner, M. Lauer, C. Igel, M. Riedmiller
1 Convergence of Synchronous Reinforcement Learning with Linear Function Approximation – Artur Merke, Ralf Schoknecht - 2004
24 A Study of Reinforcement Learning in the Continuous Case by the Means of Viscosity Solutions – Rémi Munos, Sridhar Mahadevan - 1999
5 A Case Study on Improving Defense Behavior in Soccer Simulation 2D: The NeuroHassle Approach – Thomas Gabel, Martin Riedmiller, Florian Trost
1 An Empirical Investigation into Function Approximation with Reinforcement Learning – Max Christopher Goebel
1 A Formal Framework for Reinforcement Learning with Function Approximation in Learning Classifier Systems – Jan Drugowitsch, Alwyn M Barry - 2006
Satisficing, Fast Implementation, and Generalization for On-line Reinforcement Learning – Susumu Katayama, Susumu Katayama
1 Planning in Hybrid Structured Stochastic Domains – Branislav Kveton - 2006
16 A Causal Approach to Hierarchical Decomposition in Reinforcement Learning – Anders Jonsson - 2006
1 A Study on Architecture, Algorithms, and Applications of Approximate Dynamic Programming Based Approach to Optimal Control – Jong Min Lee - 2004
Synthesis Lectures on Artificial Intelligence and Machine Learning – Csaba Szepesvári - 2009
3 Reinforcement learning algorithms for MDPs – Csaba Szepesvári - 2009
1 Regularized Policy Iteration – Amir-massoud Farahm, Mohammad Ghavamzadeh, Csaba Szepesvári
16 Reinforcement learning in the brain – Yael Niv
36 Learning and Value Function Approximation in Complex Decision Processes – Benjamin Van Roy - 1998
63 Algorithms for Reinforcement Learning – Csaba Szepesvári - 2009
30 Regularized Policy Iteration – Amir Massoud Farahmand, Csaba Szepesvári, Mohammad Ghavamzadeh, Shie Mannor
18 A unifying framework for computational reinforcement learning theory – Lihong Li - 2009
78 Learning finite-state controllers for partially observable environments – Nicolas Meuleau, Leonid Peshkin, Kee-eung Kim, Leslie Pack Kaelbling - 1999