Evolution and Learning in an Intrinsically Motivated Reinforcement Learning Robot
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Marco Mirolli | Gianluca Baldassarre | Massimiliano Schembri | G. Baldassarre | M. Mirolli | M. Schembri | Massimiliano Schembri
[1] Doina Precup,et al. Between MDPs and Semi-MDPs: A Framework for Temporal Abstraction in Reinforcement Learning , 1999, Artif. Intell..
[2] Jürgen Schmidhuber,et al. A possibility for implementing curiosity and boredom in model-building neural controllers , 1991 .
[3] Domenico Parisi,et al. Evolving Modular Architectures for Neural Networks , 2000, NCPW.
[4] Isaac Meilijson,et al. Evolution of reinforcement learning in foraging bees: a simple explanation for risk averse behavior , 2002, Neurocomputing.
[5] Robert M. French,et al. Connectionist Models of Learning, Development and Evolution , 2001, Perspectives in Neural Computing.
[6] Stefano Nolfi,et al. Learning and Evolution , 1999, Auton. Robots.
[7] Douglas S. Blank,et al. An Emergent Framework For Self-Motivation In Developmental Robotics , 2004 .
[8] Kenji Doya,et al. Evolution of meta-parameters in reinforcement learning algorithm , 2003, Proceedings 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2003) (Cat. No.03CH37453).
[9] G. Baldassarre,et al. Evolving internal reinforcers for an intrinsically motivated reinforcement-learning robot , 2007, 2007 IEEE 6th International Conference on Development and Learning.
[10] W. Schultz. Getting Formal with Dopamine and Reward , 2002, Neuron.
[11] Jean-Arcady Meyer,et al. From Animals to Animats: Proceedings of The First International Conference on Simulation of Adaptive Behavior (Complex Adaptive Systems) , 1990 .
[12] Andrew G. Barto,et al. Intrinsically Motivated Reinforcement Learning: A Promising Framework for Developmental Robot Learning , 2005 .
[13] Gianluca Baldassarre,et al. A modular neural-network model of the basal ganglia’s role in learning and selecting motor behaviours , 2002, Cognitive Systems Research.
[14] David H. Ackley,et al. Interactions between learning and evolution , 1991 .
[15] John Maynard Smith,et al. When learning guides evolution , 1987, Nature.
[16] Michael A. Arbib,et al. The handbook of brain theory and neural networks , 1995, A Bradford book.
[17] Richard S. Sutton,et al. Reinforcement Learning: An Introduction , 1998, IEEE Trans. Neural Networks.
[18] Jeffrey L. Elman,et al. Learning and Evolution in Neural Networks , 1994, Adapt. Behav..
[19] Dario Floreano,et al. Evolution of Adaptive Synapses: Robots with Fast Adaptive Behavior in New Environments , 2001, Evolutionary Computation.
[20] Xiao Huang,et al. Novelty and Reinforcement Learning in the Value System of Developmental Robots , 2002 .
[21] Pierre-Yves Oudeyer,et al. Intrinsic Motivation Systems for Autonomous Mental Development , 2007, IEEE Transactions on Evolutionary Computation.
[22] Joel L. Davis,et al. Adaptive Critics and the Basal Ganglia , 1995 .
[23] Stefano Nolfi,et al. Evolutionary Robotics: Exploiting the Full Power of Self-organization , 1998, Connect. Sci..
[24] Richard K. Belew,et al. Evolving networks: using the genetic algorithm with connectionist learning , 1990 .
[25] Charles E. Taylor,et al. Artificial Life II , 1991 .
[26] Geoffrey E. Hinton,et al. How Learning Can Guide Evolution , 1996, Complex Syst..
[27] R. W. White. Motivation reconsidered: the concept of competence. , 1959, Psychological review.
[28] Nuttapong Chentanez,et al. Intrinsically Motivated Learning of Hierarchical Collections of Skills , 2004 .
[29] G. Baldassarre,et al. A neural-network reinforcement-learning model of domestic chicks that learn to localize the centre of closed arenas , 2007, Philosophical Transactions of the Royal Society B: Biological Sciences.
[30] Richard S. Sutton,et al. Introduction to Reinforcement Learning , 1998 .