Gaussian Belief Space Planning with Discontinuities in Sensing Domains Sachin Patil, Yan Duan, John Schulman, Ken Goldberg, Pieter Abbeel Abstract— Discontinuities in sensing domains are common when planning for many r

Source URL: goldberg.berkeley.edu

• Robot control
• Control theory
• Kalman filter
• Motion planning
• Partially observable Markov decision process
• Robotics
• Distribution
• Trajectory optimization

Size of the observable universe, about 8.8 x 1026m 96.15cm Expressive query languages are gaining relevance in

Source URL: korrekt.org

Gaussian Belief Space Planning for Imprecise Articulated Robots Alex Lee Sachin Patil John Schulman Zoe McCarthy Jur van den Berg Ken Goldberg Pieter Abbeel Abstract— For many emerging applications, actuators are being

Source URL: goldberg.berkeley.edu

• Statistics
• Mathematical analysis
• Probability
• Robot control
• Mathematical optimization
• Dynamic programming
• Stochastic control
• Partially observable Markov decision process
• Trajectory optimization
• Kalman filter
• Motion planning
• Normal distribution

Cooperation in Partly Observable Networked Markets Itay P. Fainmessery David A. Goldbergz June 24, 2015

Source URL: www2.isye.gatech.edu

The behaviour of sentiment-induced share returns: Measurement when fundamentals are observable Richard Brealey Ian Cooper

Source URL: www.q-group.org

• Behavioral finance
• Stock market
• Mathematical finance
• Financial markets
• Market sentiment
• Financial economics
• Volatility
• Market anomaly

Using Social Networks to Aid Homeless Shelters: Dynamic Influence Maximization under Uncertainty Amulya Yadav, Hau Chan1 , Albert Jiang1 , Haifeng Xu, Eric Rice, Milind Tambe University of Southern California, Los Angele

Source URL: teamcore.usc.edu

• Networks
• Graph theory
• Network theory
• Dynamic programming
• Partially observable Markov decision process
• Stochastic control
• Centrality
• Social network analysis
• Tree
• Flow network

Journal of Artificial Intelligence Research591 Submitted 11/08; publishedOptimal Value of Information in Graphical Models Andreas Krause

Source URL: select.cs.cmu.edu

• Statistics
• Statistical models
• Markov models
• Graphical models
• Mathematical optimization
• Operations research
• Bayesian network
• Hidden Markov model
• Dynamic programming
• Naive Bayes classifier
• Algorithm
• Partially observable Markov decision process

De Sitter Bubble as a Model of the Observable Universe Larissa Borissova Abstract: Schwarzschild’s metric of the space inside a sphere of incompressible liquid is taken under focus. We consider a particular case of the

Source URL: zelmanov.org

A Bounded Rationality Account of Wishful Thinking Rebecca Neumann () Cognitive Science Program, University of California, Berkeley, CAUSA Anna N. Rafferty () Computer

Source URL: cocosci.berkeley.edu

• Cognitive biases
• Markov processes
• Operations research
• Simulation
• Optimism bias
• Wishful thinking
• Markov chain
• Partially observable Markov decision process
• Optimism
• The Matrix

De Sitter Bubble as a Model of the Observable Universe Larissa Borissova Abstract: Schwarzschild’s metric of the space inside a sphere of incompressible liquid is taken under focus. We consider a particular case of the

Source URL: zelmanov.ptep-online.com