| Continual learning in reinforcement environments MB Ring The University of Texas at Austin, 1994 | 400 | 1994 |
| CHILD: A first step towards continual learning MB Ring Machine Learning 28 (1), 77-104, 1997 | 281 | 1997 |
| Delusion, survival, and intelligent agents M Ring, L Orseau Artificial General Intelligence: 4th International Conference, AGI 2011 …, 2011 | 96 | 2011 |
| Using Predictive Representations to Improve Generalization in Reinforcement Learning. EJ Rafols, MB Ring, RS Sutton, B Tanner IJCAI, 835-840, 2005 | 67 | 2005 |
| Learning sequential tasks by incrementally adding higher orders M Ring Advances in neural information processing systems 5, 1992 | 59 | 1992 |
| Space-time embedded intelligence L Orseau, M Ring Artificial General Intelligence: 5th International Conference, AGI 2012 …, 2012 | 54 | 2012 |
| Self-modification and mortality in artificial agents L Orseau, M Ring Artificial General Intelligence: 4th International Conference, AGI 2011 …, 2011 | 46 | 2011 |
| Incremental development of complex behaviors through automatic construction of sensory-motor hierarchies M Ring Machine Learning Proceedings 1991, 343-347, 1991 | 44 | 1991 |
| Better Generalization with Forecasts. T Schaul, MB Ring IJCAI, 1656-1662, 2013 | 39 | 2013 |
| 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 | 37 | 2011 |
| Two methods for hierarchy learning in reinforcement environments M Ring | 24 | 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 | 21 | 2011 |
| Incremental Basis Construction from Temporal Difference Error. Y Sun, FJ Gomez, MB Ring, J Schmidhuber ICML, 481-488, 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 | 16 | 2011 |
| Toward a formal framework for continual learning MB Ring NIPS workshop on Inductive Transfer, Whistler, Canada, 2005 | 11 | 2005 |
| Memory issues of intelligent agents L Orseau, M Ring Artificial General Intelligence: 5th International Conference, AGI 2012 …, 2012 | 10 | 2012 |
| Q-error as a selection mechanism in modular reinforcement-learning systems M Ring, T Schaul IJCAI Proceedings-International Joint Conference on Artificial Intelligence …, 2011 | 10 | 2011 |
| Sequence learning with incremental higher-order neural networks M Ring University of Texas at Austin, Austin, TX, 1993 | 9 | 1993 |
| Representing knowledge as predictions (and state as knowledge) M Ring arXiv preprint arXiv:2112.06336, 2021 | 8 | 2021 |
| 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 |
Juergen SchmidhuberKing Abdullah University of Science and Technology / The Swiss AI Lab, IDSIA / University of LuganoCorreu electrònic verificat a kaust.edu.sa
