Estimating Learning Rates in Evolution and TDL: Results on a Simple Grid-World Problem Simon M. Lucas Abstract— When learning to play a game or perform some task, it is important to learn as quickly and effectively as

Source URL: game.itu.dk

• Applied mathematics
• Cybernetics
• Machine learning
• Cognitive science
• Evolution
• Genetic algorithms
• Mathematical optimization
• Q-learning
• Reinforcement learning
• Artificial neural network
• Evolutionary computation
• Evolutionary algorithm

Reinforcement Learning with Sequences of Motion Primitives for Robust Manipulation

Source URL: www-clmc.usc.edu

SHIV: Reducing Supervisor Burden in DAgger using Support Vectors for Efficient Learning from Demonstrations in High Dimensional State Spaces Michael Laskey1 , Sam Staszak1 , Wesley Yu-Shu Hsieh1 , Jeffrey Mahler1 , Flori

Source URL: goldberg.berkeley.edu

• Machine learning
• Artificial intelligence
• Statistics
• Learning
• Statistical classification
• Support vector machine
• Apprenticeship learning
• Artificial neural network
• Loss function
• Motion planning
• Reinforcement learning
• Robotics

REGAL: A Regularization based Algorithm for Reinforcement Learning in Weakly Communicating MDPs Peter L. Bartlett Computer Science Division, and Department of Statistics

Source URL: www.stat.berkeley.edu

On the Sample Complexity of Reinforcement Learning Sham Machandranath Kakade Gatsby Computational Neuroscience Unit University College London

Source URL: homes.cs.washington.edu

Sample Complexity of Episodic Fixed-Horizon Reinforcement Learning Emma Brunskill Computer Science Department Carnegie Mellon University

Source URL: papers.nips.cc

multi-bandit_techreport.dvi

Source URL: victorgabillon.nfshost.com

• Machine learning
• Multi-armed bandit
• Stochastic optimization
• Markov models
• Active learning
• Dynamic programming
• Reinforcement learning
• Variance

Machine Learning, 49, 209–232, 2002 c 2002 Kluwer Academic Publishers. Manufactured in The Netherlands.  Near-Optimal Reinforcement Learning in Polynomial Time

Source URL: www.cis.upenn.edu

Ensembles of extremely randomised trees Tree-based batch mode reinforcement learning Pixel-based image classification Motivation(s) Extra-Trees algorithm

Source URL: www.montefiore.ulg.ac.be

CS229/CS221 PROJECT REPORT , DECEMBER 2015, STANFORD UNIVERSITY 1 Intelligent Rapid Voice Recognition using Neural Tensor Network, SVM and Reinforcement Learning

Source URL: cs229.stanford.edu