Brendan D. Tracey

发表

Reducing the error of Monte Carlo Algorithms by Learning Control Variates

Brendan D. Tracey, David H. Wolpert, D. Wolpert, 2016, 1606.02261.

Counter-Factual Reinforcement Learning: How to Model Decision-Makers That Anticipate the Future

Russell Bent, Scott Backhaus, David H. Wolpert, 2012, Decision Making and Imperfection.

Application of Game Theoretic Models to Evaluate Airline Equipage Dynamics of NextGen Technologies

David H. Wolpert, Philippe A. Bonnefoy, Juan J. Alonso, 2013 .

Air Vehicle Design and Technology Considerations for an Electric VTOL Metro-Regional Public Transportation System

Juan J. Alonso, Brendan D. Tracey, Jeffrey D. Sinsay, 2012 .

Deep Reinforcement Learning for Event-Driven Multi-Agent Decision Processes

Mykel J. Kochenderfer, Yi-Chun Chen, Justin Grana, 2017, IEEE Transactions on Intelligent Transportation Systems.

Pathologies in information bottleneck for deterministic supervised learning pdf

Artemy Kolchinsky, Brendan D. Tracey, Steven Van Kuyk, 2018, ArXiv.

Cyber-Physical Security: A Game Theory Model of Humans Interacting Over Control Systems

Russell Bent, Scott Backhaus, David H. Wolpert, 2013, IEEE Transactions on Smart Grid.

Modeling Humans as Reinforcement Learners: How to Predict Human Behavior in Multi-Stage Games

Russell Bent, Scott Backhaus, David H. Wolpert, 2011 .

Correction: Kolchinsky, A. and Tracey, B.D. Estimating Mixture Entropy with Pairwise Distances. Entropy 2017, 19, 361

Artemy Kolchinsky, Brendan D. Tracey, 2017, Entropy.

Using Supervised Learning to Improve Monte Carlo Integral Estimation pdf

David H. Wolpert, Juan J. Alonso, Brendan D. Tracey, 2011, ArXiv.

Predicting what reinforcement learning will tell you: a model of human decision-making in multi-stage games

Russell Bent, Scott Backhaus, David H. Wolpert, 2011 .

Upgrading from Gaussian Processes to Student's-T Processes

Brendan D. Tracey, David H. Wolpert, D. Wolpert, 2018, 1801.06147.

Dynamics of beneficial epidemics

Laurent Hébert-Dufresne, Joshua A. Grochow, Daniel B. Larremore, 2016, Scientific Reports.

Predicting the behavior of interacting humans by fusing data from multiple sources

Mykel J. Kochenderfer, David H. Wolpert, Erik J. Schlicht, 2012, UAI.

Stanford University Unstructured (SU 2 ): Open-source Analysis and Design Technology for Turbulent Flows

Juan J. Alonso, Thomas D. Economon, Brendan D. Tracey, 2014 .

Estimating Mixture Entropy with Pairwise Distances pdf

Artemy Kolchinsky, Brendan D. Tracey, Artemy Kolchinsky, 2017, Entropy.

Caveats for information bottleneck in deterministic scenarios

Artemy Kolchinsky, Brendan D. Tracey, Steven Van Kuyk, 2018, ICLR.

Nonlinear Information Bottleneck

David H. Wolpert, Artemy Kolchinsky, Brendan D. Tracey, 2017, Entropy.

Modeling Social Organizations as Communication Networks pdf

David H. Wolpert, Justin Grana, Artemy Kolchinsky, 2017, ArXiv.

On the information bottleneck theory of deep learning

David D. Cox, Artemy Kolchinsky, Andrew M. Saxe, 2018, ICLR.

Stanford University Unstructured (SU2): Analysis and Design Technology for Turbulent Flows

Juan J. Alonso, Thomas D. Economon, Brendan D. Tracey, 2014 .

From Motor Control to Team Play in Simulated Humanoid Football pdf

Yuval Tassa, Guy Lever, Thore Graepel, 2021, Sci. Robotics.

A Machine Learning Strategy to Assist Turbulence Model Development

Brendan D. Tracey, K. Duraisamy, J. Alonso, 2015 .

Real World Games Look Like Spinning Tops pdf

Max Jaderberg, Wojciech Marian Czarnecki, Brendan D. Tracey, 2020, NeurIPS.

On the records

Joshua A. Grochow, Brendan D. Tracey, Elizabeth A. Hobson, 2017, 1705.04353.

Application of supervised learning to quantify uncertainties in turbulence and combustion modeling

Brendan D. Tracey, K. Duraisamy, J. Alonso, 2013 .

Dynamics of beneficial epidemics Santa Fe Institute Postdocs

Brendan D. Tracey, Caitlin A. Stern, D. Larremore, 2016 .

Scale and information-processing thresholds in Holocene social evolution

David H. Wolpert, Brendan D. Tracey, Hajime Shimao, 2020, Nature Communications.

Magnetic control of tokamak plasmas through deep reinforcement learning

Martin A. Riedmiller, Brendan D. Tracey, Timo Ewalds, 2022, Nature.

Probabilistic simulation of multi-stage decisions for operation of a fractionated satellite mission

Brendan D. Tracey, Matthew Daniels, Jenny Irvine, 2011, 2011 Aerospace Conference.

Scale and information-processing thresholds in Holocene social evolution

Brendan D. Tracey, Timothy A. Kohler, D. Wolpert, 2020, Nature Communications.

Towards practical reinforcement learning for tokamak magnetic control

Martin A. Riedmiller, Brendan D. Tracey, Timo Ewalds, 2023, ArXiv.