Papers
9,944 papers found
Orthogonal Matching Pursuit with Replacement
Prateek Jain, Ambuj Tewari, Inderjit S. Dhillon
Fast and Balanced: Efficient Label Tree Learning for Large Scale Object Recognition
Jia Deng, Sanjeev Satheesh, Alexander C. Berg et al.
Inductive reasoning about chimeric creatures
Charles Kemp
Selecting the State-Representation in Reinforcement Learning
Odalric-ambrym Maillard, Daniil Ryabko, Rémi Munos
A Reinforcement Learning Theory for Homeostatic Regulation
Mehdi Keramati, Boris S. Gutkin
A Machine Learning Approach to Predict Chemical Reactions
Matthew A. Kayala, Pierre F. Baldi
Reinforcement Learning using Kernel-Based Stochastic Factorization
Andre Barreto, Doina Precup, Joelle Pineau
Thinning Measurement Models and Questionnaire Design
Ricardo Silva
Nonlinear Inverse Reinforcement Learning with Gaussian Processes
Sergey Levine, Zoran Popovic, Vladlen Koltun
Advice Refinement in Knowledge-Based SVMs
Gautam Kunapuli, Richard Maclin, Jude W. Shavlik
Optimal Reinforcement Learning for Gaussian Systems
Philipp Hennig
Privacy Aware Learning
Martin J. Wainwright, Michael I. Jordan, John C. Duchi
Learning visual motion in recurrent neural networks
Marius Pachitariu, Maneesh Sahani
Regularized Off-Policy TD-Learning
Bo Liu, Sridhar Mahadevan, Ji Liu
Efficient Bayes-Adaptive Reinforcement Learning using Sample-Based Search
Arthur Guez, David Silver, Peter Dayan
Learning optimal spike-based representations
Ralph Bourdoukan, David Barrett, Sophie Deneve et al.
Transferring Expectations in Model-based Reinforcement Learning
Trung Nguyen, Tomi Silander, Tze Y. Leong
Neurally Plausible Reinforcement Learning of Working Memory Tasks
Jaldert Rombouts, Pieter Roelfsema, Sander M. Bohte
Inverse Reinforcement Learning through Structured Classification
Edouard Klein, Matthieu Geist, Bilal Piot et al.
Bayesian Hierarchical Reinforcement Learning
Feng Cao, Soumya Ray
Cost-Sensitive Exploration in Bayesian Reinforcement Learning
Dongho Kim, Kee-eung Kim, Pascal Poupart
A Nonparametric Conjugate Prior Distribution for the Maximizing Argument of a Noisy Function
Pedro Ortega, Jordi Grau-moya, Tim Genewein et al.
Online L1-Dictionary Learning with Application to Novel Document Detection
Shiva P. Kasiviswanathan, Huahua Wang, Arindam Banerjee et al.
Online Regret Bounds for Undiscounted Continuous Reinforcement Learning
Ronald Ortner, Daniil Ryabko
Learning and using language via recursive pragmatic reasoning about other agents
Nathaniel J Smith, Noah Goodman, Michael Frank