Information Driven Self-Organization of Complex Robotic Behaviors
暂无分享,去创建一个
Ralf Der | Nihat Ay | Georg Martius | G. Martius | N. Ay | R. Der
[1] S. Glickman,et al. Curiosity in zoo animals. , 1966, Behaviour.
[2] D. Berlyne. Curiosity and exploration. , 1966, Science.
[3] H. Risken. Fokker-Planck Equation , 1984 .
[4] S. Starkie. Free will , 1985, Nature.
[5] Editors , 1986, Brain Research Bulletin.
[6] P. Grassberger. Toward a quantitative theory of self-generated complexity , 1986 .
[7] J. Magnus,et al. Matrix Differential Calculus with Applications in Statistics and Econometrics (Revised Edition) , 1999 .
[8] Young,et al. Inferring statistical complexity. , 1989, Physical review letters.
[9] Jürgen Schmidhuber,et al. A possibility for implementing curiosity and boredom in model-building neural controllers , 1991 .
[10] Thomas M. Cover,et al. Elements of Information Theory , 2005 .
[11] Jürgen Schmidhuber,et al. Curious model-building control systems , 1991, [Proceedings] 1991 IEEE International Joint Conference on Neural Networks.
[12] Karl J. Friston. Functional and effective connectivity in neuroimaging: A synthesis , 1994 .
[13] R. Mishra,et al. Self-Organization , 2021, Encyclopedic Dictionary of Archaeology.
[14] Terrence J. Sejnowski,et al. An Information-Maximization Approach to Blind Separation and Blind Deconvolution , 1995, Neural Computation.
[15] S. Hochreiter,et al. REINFORCEMENT DRIVEN INFORMATION ACQUISITION IN NONDETERMINISTIC ENVIRONMENTS , 1995 .
[16] H. Markram,et al. Regulation of Synaptic Efficacy by Coincidence of Postsynaptic APs and EPSPs , 1997, Science.
[17] A. Steele. Predictability , 1997, The British journal of ophthalmology.
[18] Niraj S. Desai,et al. Activity-dependent scaling of quantal amplitude in neocortical neurons , 1998, Nature.
[19] M. Bekoff,et al. Animal play : evolutionary, comparative, and ecological perspectives , 1998 .
[20] Ralf Der,et al. Self-organized acquisition of situated behaviors , 2001, Theory in Biosciences.
[21] Olaf Sporns,et al. Classes of network connectivity and dynamics , 2001, Complex..
[22] Nikolaus Hansen,et al. Completely Derandomized Self-Adaptation in Evolution Strategies , 2001, Evolutionary Computation.
[23] A. U.S.,et al. Predictability , Complexity , and Learning , 2002 .
[24] R. Der,et al. True autonomy from self-organized adaptivity , 2002 .
[25] Andrew G. Barto,et al. Optimal learning: computational procedures for bayes-adaptive markov decision processes , 2002 .
[26] Luc Steels,et al. The Autotelic Principle , 2003, Embodied Artificial Intelligence.
[27] Pierre-Yves Oudeyer,et al. Maximizing Learning Progress: An Internal Reward System for Development , 2003, Embodied Artificial Intelligence.
[28] Nuttapong Chentanez,et al. Intrinsically Motivated Learning of Hierarchical Collections of Skills , 2004 .
[29] Jochen Triesch,et al. A Gradient Rule for the Plasticity of a Neuron's Intrinsic Excitability , 2005, ICANN.
[30] Ralf Der,et al. Learning to feel the physics of a body , 2005, International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce (CIMCA-IAWTIC'06).
[31] Richard S. Sutton,et al. Reinforcement Learning: An Introduction , 1998, IEEE Trans. Neural Networks.
[32] Erkki Oja,et al. Artificial Neural Networks: Biological Inspirations - ICANN 2005, 15th International Conference, Warsaw, Poland, September 11-15, 2005, Proceedings, Part I , 2005, ICANN.
[33] Rolf Pfeifer,et al. How the body shapes the way we think - a new view on intelligence , 2006 .
[34] Ralf Der,et al. Let it roll - Emerging Sensorimotor Coordination in a Spherical Robot , 2006 .
[35] Ralf Der,et al. From Motor Babbling to Purposive Actions: Emerging Self-exploration in a Dynamical Systems Approach to Early Robot Development , 2006, SAB.
[36] Ralf Der,et al. Rocking Stamper and Jumping Snakes from a Dynamical Systems Approach to Artificial Life , 2006, Adapt. Behav..
[37] Gordon Pipa,et al. The combination of STDP and intrinsic plasticity yields complex dynamics in recurrent spiking networks , 2006, ESANN.
[38] Jochen Triesch,et al. Exploring the role of intrinsic plasticity for the learning of sensory representations , 2006, ESANN.
[39] T. Bugnyar,et al. Novel object exploration in ravens (Corvus corax): Effects of social relationships , 2006, Behavioural Processes.
[40] Olaf Sporns,et al. Mapping Information Flow in Sensorimotor Networks , 2006, PLoS Comput. Biol..
[41] M. Prokopenko,et al. Evolving Spatiotemporal Coordination in a Modular Robotic System , 2006, SAB.
[42] B. Brembs,et al. Order in Spontaneous Behavior , 2007, PloS one.
[43] R. Pfeifer,et al. Self-Organization, Embodiment, and Biologically Inspired Robotics , 2007, Science.
[44] Jochen Triesch,et al. Synergies Between Intrinsic and Synaptic Plasticity Mechanisms , 2007, Neural Computation.
[45] Olaf Sporns,et al. Methods for quantifying the informational structure of sensory and motor data , 2007, Neuroinformatics.
[46] Ralf Der,et al. Guided Self-organisation for Autonomous Robot Development , 2007, ECAL.
[47] Pierre-Yves Oudeyer,et al. Intrinsic Motivation Systems for Autonomous Mental Development , 2007, IEEE Transactions on Evolutionary Computation.
[48] Marieke Rohde,et al. Ascriptional and 'genuine' autonomy , 2008, Biosyst..
[49] Eckehard Olbrich,et al. Autonomy: An information theoretic perspective , 2008, Biosyst..
[50] Ralf Der,et al. Predictive information and emergent cooperativity in a chain of mobile robots , 2008, ALIFE.
[51] Ralf Der,et al. Predictive information and explorative behavior of autonomous robots , 2008 .
[52] Margaret A. Boden,et al. Autonomy: What is it? , 2008, Biosyst..
[53] Jürgen Schmidhuber,et al. Driven by Compression Progress: A Simple Principle Explains Essential Aspects of Subjective Beauty, Novelty, Surprise, Interestingness, Attention, Curiosity, Creativity, Art, Science, Music, Jokes , 2008, ABiALS.
[54] Nancey C. Murphy,et al. Downward causation and the neurobiology of free will , 2009 .
[55] C. Koch. Free Will, Physics, Biology, and the Brain , 2009 .
[56] Sergio Martinoia,et al. Evaluation of the Performance of Information Theory-Based Methods and Cross-Correlation to Estimate the Functional Connectivity in Cortical Networks , 2009, PloS one.
[57] Claudius Gros,et al. Self-organized chaos through polyhomeostatic optimization. , 2010, Physical review letters.
[58] Richard L. Lewis,et al. Intrinsically Motivated Reinforcement Learning: An Evolutionary Perspective , 2010, IEEE Transactions on Autonomous Mental Development.
[59] Randall D. Beer,et al. Information Dynamics of Evolved Agents , 2010, SAB.
[60] Ralf Der,et al. Higher Coordination With Less Control—A Result of Information Maximization in the Sensorimotor Loop , 2009, Adapt. Behav..
[61] Frank Sehnke,et al. Parameter-exploring policy gradients , 2010, Neural Networks.
[62] B. Brembs. Towards a scientific concept of free will as a biological trait: spontaneous actions and decision-making in invertebrates , 2010, Proceedings of the Royal Society B: Biological Sciences.
[63] Ralf Der,et al. Information-driven self-organization: the dynamical system approach to autonomous robot behavior , 2012, Theory in Biosciences.
[64] Gordon Pipa,et al. Emerging Bayesian Priors in a Self-Organizing Recurrent Network , 2011, ICANN.
[65] Peter Stone,et al. Empowerment for continuous agent—environment systems , 2011, Adapt. Behav..
[66] Ralf Der,et al. The Playful Machine - Theoretical Foundation and Practical Realization of Self-Organizing Robots , 2012, Cognitive Systems Monographs.
[67] Claudius Gros,et al. Intrinsic Adaptation in Autonomous Recurrent Neural Networks , 2011, Neural Computation.
[68] Christian W. Rempis. Evolving complex neuro-controllers with interactively constrained neuro-evolution , 2012 .
[69] Rolf Pfeifer,et al. Bootstrapping Perception using Information Theory: Case Studies in a quadruped Robot Running on Different grounds , 2013, Adv. Complex Syst..