The Reuse of Grammars with Embedded Semantic Actions Terence Parr University of San Francisco San Francisco, CA USA[removed]parrt at cs.usfca.edu

Source URL: www.cs.vu.nl

• Parsing
• Software
• Compiler construction
• Syntax
• LL parser
• ANTLR
• Parsing expression grammar
• Compiler-compiler
• Formal grammar
• Programming language implementation
• Parser generators
• Formal languages

Planning Aims for a Network of Horizontal and Overhead Sensors Erik Halvorson and Ronald Parr Department of Computer Science, Duke University {erikh, parr}@cs.duke.edu Summary. This paper considers the problem of planni

Source URL: www.cs.duke.edu

• Transducers
• Visual hull
• Algorithm
• 3D modeling
• Wireless sensor network
• Greedy algorithm
• Applied mathematics
• Mathematics
• Sensors
• Technology

DP-SLAM 2.0 Austin I. Eliazar and Ronald Parr Department of Computer Science Duke University Durham, North Carolina[removed]Email: {eliazar,parr}@cs.duke.edu

Source URL: www.cs.duke.edu

• Robot navigation
• Estimation theory
• Robot control
• Linear filters
• Simultaneous localization and mapping
• Statistical mechanics
• Occupancy grid mapping
• Kalman filter
• Particle filter
• Statistics
• Probability and statistics
• Applied mathematics

e Af eAf The Experimental Art Foundation fosters the development & promotion of

Source URL: www.aeaf.org.au

PAC Optimal Exploration in Continuous Space Markov Decision Processes Jason Pazis and Ronald Parr Department of Computer Science, Duke University Durham, NC 27708 {jpazis,parr}@cs.duke.edu

Source URL: www.cs.duke.edu

• Reinforcement learning
• Markov decision process
• Q-learning
• XTR
• Statistics
• Markov models
• Markov processes

An Analysis of Linear Models, Linear Value-Function Approximation, and Feature Selection for Reinforcement Learning Ronald Parr? Lihong Li† Gavin Taylor? Christopher Painter-Wakefield?

Source URL: www.cs.duke.edu

• Matrix theory
• Functional analysis
• Spectral theory
• Automatic basis function construction
• Dynamic programming
• Proto-value functions
• Static single assignment form
• Reinforcement learning
• Singular value decomposition
• Algebra
• Mathematics
• Linear algebra

Object Disappearance for Object Discovery Julian Mason and Bhaskara Marthi and Ronald Parr Abstract— A useful capability for a mobile robot is the ability to recognize the objects in its environment that move and chang

Source URL: www.cs.duke.edu

• Vision
• Image processing
• Segmentation
• Object recognition
• Stereopsis
• Pose
• K-means clustering
• Symmetry
• Cluster analysis
• Imaging
• Optics
• Computer vision

Fuller Dymaxion (Snyder’s Arrangement); Polyhedral Globe; Neither Conformal or Equal-area; Source: John Parr Snyder’s Personal Software 

Source URL: www.csiss.org

Multi-step Multi-sensor Hider-Seeker Games Erik Halvorson, Vincent Conitzer and Ronald Parr Duke University Department of Computer Science {erikh, conitzer, parr}@cs.duke.edu Abstract

Source URL: www.cs.duke.edu

• Applied mathematics
• Detection theory
• Game artificial intelligence
• Minimax
• Computational complexity theory
• Discrete mathematics
• Linear search problem
• Mathematics
• Game theory
• Search algorithms

Reinforcement Learning with Hierarchies of Machines Ronald Parr and Stuart Russell Computer Science Division, UC Berkeley, CA[removed]parr,russell @cs.berkeley.edu

Source URL: www.cs.duke.edu

• Dynamic programming
• Stochastic control
• Reinforcement learning
• Markov decision process
• Q-learning
• Machine learning
• Finite-state machine
• Markov chain
• Algorithm
• Statistics
• Markov processes
• Markov models