| Continual learning in reinforcement environments MB Ring University of Texas at Austin, 1994 | 266 | 1994 |
| CHILD: A first step towards continual learning MB Ring Learning to learn, 261-292, 1998 | 169 | 1998 |
| Delusion, survival, and intelligent agents M Ring, L Orseau International Conference on Artificial General Intelligence, 11-20, 2011 | 76 | 2011 |
| Using Predictive Representations to Improve Generalization in Reinforcement Learning. EJ Rafols, MB Ring, RS Sutton, B Tanner IJCAI, 835-840, 2005 | 58 | 2005 |
| Learning sequential tasks by incrementally adding higher orders MB Ring Advances in neural information processing systems, 115-115, 1993 | 56 | 1993 |
| Space-time embedded intelligence L Orseau, M Ring International Conference on Artificial General Intelligence, 209-218, 2012 | 42 | 2012 |
| Self-modification and mortality in artificial agents L Orseau, M Ring International Conference on Artificial General Intelligence, 1-10, 2011 | 40 | 2011 |
| Incremental development of complex behaviors through automatic construction of sensory-motor hierarchies M Ring Machine Learning Proceedings 1991, 343-347, 1991 | 40 | 1991 |
| Artificial curiosity with planning for autonomous perceptual and cognitive development M Luciw, V Graziano, M Ring, J Schmidhuber 2011 IEEE International Conference on Development and Learning (ICDL) 2, 1-8, 2011 | 33 | 2011 |
| Better generalization with forecasts T Schaul, M Ring Twenty-Third International Joint Conference on Artificial Intelligence, 2013 | 28 | 2013 |
| Two methods for hierarchy learning in reinforcement environments MB Ring From animals to animats 2: Proceedings of the second international …, 1993 | 21 | 1993 |
| The two-dimensional organization of behavior M Ring, T Schaul, J Schmidhuber 2011 IEEE International Conference on Development and Learning (ICDL) 2, 1-8, 2011 | 19 | 2011 |
| Incremental basis construction from temporal difference error Y Sun, FJ Gomez, MB Ring, J Schmidhuber ICML, 2011 | 18 | 2011 |
| Modular deep belief networks that do not forget L Pape, F Gomez, M Ring, J Schmidhuber The 2011 International Joint Conference on Neural Networks, 1191-1198, 2011 | 14 | 2011 |
| Q-error as a selection mechanism in modular reinforcement-learning systems MB Ring, T Schaul Twenty-Second International Joint Conference on Artificial Intelligence, 2011 | 10 | 2011 |
| Compression progress-based curiosity drive for developmental learning H Ngo, M Ring, J Schmidhuber Proceedings of the 2011 IEEE Conference on Development and Learning and …, 2011 | 7 | 2011 |
| Memory issues of intelligent agents L Orseau, M Ring International Conference on Artificial General Intelligence, 219-231, 2012 | 6 | 2012 |
| Toward a formal framework for continual learning MB Ring NIPS Workshop on Inductive Transfer, Whistler, Canada, 2005 | 6 | 2005 |
| Sequence learning with incremental higher-order neural networks M Ring University of Texas at Austin, Austin, TX, 1993 | 6 | 1993 |
| The organization of behavior into temporal and spatial neighborhoods M Ring, T Schaul 2012 IEEE International Conference on Development and Learning and …, 2012 | 5 | 2012 |
Juergen SchmidhuberThe Swiss AI Lab, IDSIA, University of LuganoEmail verificata su idsia.ch
