Erscheinungsdatum | Titel | Autor(en) |
2009 | A case study on improving defense behavior in soccer simulation 2D: The neurohassle approach | Gabel, T.; Riedmiller, M.; Trost, F. |
2007 | An analysis of case-based value function approximation by approximating state transition graphs | Gabel, T.; Riedmiller, M. |
2008 | Evaluation of batch-mode reinforcement learning methods for solving DEC-MDPs with changing action sets | Gabel, T.; Riedmiller, M. |
2008 | Increasing precision of credible case-based inference | Gabel, T.; Riedmiller, M. |
2008 | Joint equilibrium policy search for multi-agent scheduling problems | Gabel, T.; Riedmiller, M. |
2007 | On a successful application of multi-agent reinforcement learning to operations research benchmarks | Gabel, T.; Riedmiller, M. |
2007 | On experiences in a complex and competitive gaming domain: Reinforcement learning meets RoboCup | Riedmiller, M.; Gabel, T. |
2006 | Optimizing similarity assessment in case-based reasoning | Stahl, A.; Gabel, T. |
2006 | Reducing policy degradation in neuro-dynamic programming | Gabel, T.; Riedmiller, M. |
2008 | Reinforcement learning for DEC-MDPs with changing action sets and partially ordered dependencies | Gabel, T.; Riedmiller, M. |
2007 | Scaling adaptive agent-based reactive job-shop scheduling to large-scale problems | Gabel, T.; Riedmiller, M. |
2006 | The brainstormers: Design principles of reinforcement learning autonomous robots [Die brainstormers: Entwurfsprinzipien lernfähiger autonomer roboter] | Riedmiller, M.; Gabel, T.; Hafner, R.; Lange, S.; Lauer, M. |