Home About Publications Posts BrainDump Braindumps My current zettle. Comments and opinions are my own. No guarantees on correctness. Topics Anatomy Artificial Intelligence Brain Category Theory DiffEQ Intelligence Linear Algebra Machine Learning Math Meta-Learning Neural Network Neuroscience Note-Taking Off-Policy Optimizers People Perception Philosophy Predictive Processing Reinforcement Learning Representation Statistics Theory Thinking Notes ADAM Afferent Codes Autocorrelation Biased Competition Bijective Binocular rivalry Determinant Efferent Codes Efficient Coding Empirical Risk Minimization Free-Energy Principle Function Space Gaussian Elimination General Value Functions Hadamard product Hermann von Helmholtz Hierarchical Predictive Coding Hoeffding Inequality Ideomotor Principle Image Injective Integral Transform Isomorphism Laplace Transform LSTM Matrix Morphism Preimage Recurrent Neural Network ReLU Activation Rich Sutton Richard Feynman Sign Theory Surjective Temporal Difference Learning Value Function Visual System Zettelkasten method Books Elementary Differential Equations and Boundary Value Problems Linear Algebra and its Applications Reinforcement Learning: An Introduction Papers badia2020: Agent57: Outperforming the Atari Human Benchmark bubic2010: Prediction, cognition and the brain byrd2019: What is the Effect of Importance Weighting in Deep Learning? chandar2019: Towards Non-saturating Recurrent Units for Modelling Long-term Dependencies chung2014: Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling clark2013: Whatever next? Predictive brains, situated agents, and the future of cognitive science goudreau1994: First-order versus second-order single-layer recurrent neural networks huang2011: Predictive Coding kostas2019: Asynchronous Coagent Networks: Stochastic Networks for Reinforcement Learning without Backpropagation or a Clock liu2018: Breaking the Curse of Horizon: Infinite-Horizon Off-Policy Estimation mnih2014: Recurrent Models of Visual Attention mohamed2019: Monte Carlo Gradient Estimation in Machine Learning prinz1990: A Common Coding Approach to Perception and Action rao1999: Predictive coding in the visual cortex: a functional interpretation of some extra-classical receptive-field effects soga2009: Predictive and postdictive mechanisms jointly contribute to visual awareness spratling2017: A review of predictive coding algorithms stock2004: A short history of ideo-motor action sutskever2011: Generating text with recurrent neural networks sutton1988: Learning to predict by the methods of temporal differences sutton2011: Horde: A Scalable Real-time Architecture for Learning Knowledge from Unsupervised Sensorimotor Interaction sutton2020john: John McCarthy's definition of intelligence synofzik2013: The experience of agency: an interplay between prediction and postdiction vanhasselt2015: Learning to Predict Independent of Span wang2017: Learning to reinforcement learn white2015: Developing a predictive approach to knowledge white2017: Unifying Task Specification in Reinforcement Learning wu2016: On Multiplicative Integration with Recurrent Neural Networks Websites How to Take Smart Notes with Org-mode

Braindumps My current zettle. Comments and opinions are my own. No guarantees on correctness. Topics Anatomy Artificial Intelligence Brain Category Theory DiffEQ Intelligence Linear Algebra Machine Learning Math Meta-Learning Neural Network Neuroscience Note-Taking Off-Policy Optimizers People Perception Philosophy Predictive Processing Reinforcement Learning Representation Statistics Theory Thinking Notes ADAM Afferent Codes Autocorrelation Biased Competition Bijective Binocular rivalry Determinant Efferent Codes Efficient Coding Empirical Risk Minimization Free-Energy Principle Function Space Gaussian Elimination General Value Functions Hadamard product Hermann von Helmholtz Hierarchical Predictive Coding Hoeffding Inequality Ideomotor Principle Image Injective Integral Transform Isomorphism Laplace Transform LSTM Matrix Morphism Preimage Recurrent Neural Network ReLU Activation Rich Sutton Richard Feynman Sign Theory Surjective Temporal Difference Learning Value Function Visual System Zettelkasten method Books Elementary Differential Equations and Boundary Value Problems Linear Algebra and its Applications Reinforcement Learning: An Introduction Papers badia2020: Agent57: Outperforming the Atari Human Benchmark bubic2010: Prediction, cognition and the brain byrd2019: What is the Effect of Importance Weighting in Deep Learning? chandar2019: Towards Non-saturating Recurrent Units for Modelling Long-term Dependencies chung2014: Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling clark2013: Whatever next? Predictive brains, situated agents, and the future of cognitive science goudreau1994: First-order versus second-order single-layer recurrent neural networks huang2011: Predictive Coding kostas2019: Asynchronous Coagent Networks: Stochastic Networks for Reinforcement Learning without Backpropagation or a Clock liu2018: Breaking the Curse of Horizon: Infinite-Horizon Off-Policy Estimation mnih2014: Recurrent Models of Visual Attention mohamed2019: Monte Carlo Gradient Estimation in Machine Learning prinz1990: A Common Coding Approach to Perception and Action rao1999: Predictive coding in the visual cortex: a functional interpretation of some extra-classical receptive-field effects soga2009: Predictive and postdictive mechanisms jointly contribute to visual awareness spratling2017: A review of predictive coding algorithms stock2004: A short history of ideo-motor action sutskever2011: Generating text with recurrent neural networks sutton1988: Learning to predict by the methods of temporal differences sutton2011: Horde: A Scalable Real-time Architecture for Learning Knowledge from Unsupervised Sensorimotor Interaction sutton2020john: John McCarthy's definition of intelligence synofzik2013: The experience of agency: an interplay between prediction and postdiction vanhasselt2015: Learning to Predict Independent of Span wang2017: Learning to reinforcement learn white2015: Developing a predictive approach to knowledge white2017: Unifying Task Specification in Reinforcement Learning wu2016: On Multiplicative Integration with Recurrent Neural Networks Websites How to Take Smart Notes with Org-mode