Brendan D. Tracey

According to our database, Brendan D. Tracey authored at least 19 papers between 2011 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Towards practical reinforcement learning for tokamak magnetic control.

Brendan D. Tracey, Andrea Michi, Yuri Chervonyi, Ian Davies, Cosmin Paduraru, Nevena Lazic, Federico Felici, Timo Ewalds, Craig Donner, Cristian Galperti, Jonas Buchli, Michael Neunert, Andrea Huber, Jonathan Evens, Paula Kurylowicz, Daniel J. Mankowitz, Martin A. Riedmiller, The TCV Team

CoRR, 2023

2022

Figure Data for the paper "From Motor Control to Team Play in Simulated Humanoid Football".

Siqi Liu, Guy Lever, Zhe Wang, Josh Merel, S. M. Ali Eslami, Daniel Hennes, Wojciech Czarnecki, Yuval Tassa, Shayegan Omidshafiei, Abbas Abdolmaleki, Noah Y. Siegel, Leonard Hasenclever, Luke Marris, Saran Tunyasuvunakool, H. Francis Song, Markus Wulfmeier, Paul Muller, Tuomas Haarnoja, Brendan D. Tracey, Karl Tuyls, Thore Graepel, Nicolas Heess

Dataset, August, 2022

From motor control to team play in simulated humanoid football.

Siqi Liu, Guy Lever, Zhe Wang, Josh Merel, S. M. Ali Eslami, Daniel Hennes, Wojciech M. Czarnecki, Yuval Tassa, Shayegan Omidshafiei, Abbas Abdolmaleki, Noah Y. Siegel, Leonard Hasenclever, Luke Marris, Saran Tunyasuvunakool, H. Francis Song, Markus Wulfmeier, Paul Muller, Tuomas Haarnoja, Brendan D. Tracey, Karl Tuyls, Thore Graepel, Nicolas Heess

Sci. Robotics, 2022

Magnetic control of tokamak plasmas through deep reinforcement learning.

Jonas Degrave, Federico Felici, Jonas Buchli, Michael Neunert, Brendan D. Tracey, Francesco Carpanese, Timo Ewalds, Roland Hafner, Abbas Abdolmaleki, Diego de Las Casas, Craig Donner, Leslie Fritz, Cristian Galperti, Andrea Huber, James Keeling, Maria Tsimpoukelli, Jackie Kay, Antoine Merle, Jean-Marc Moret, Seb Noury, Federico Pesamosca, David Pfau, Olivier Sauter, Cristian Sommariva, Stefano Coda, Basil Duval, Ambrogio Fasoli, Pushmeet Kohli, Koray Kavukcuoglu, Demis Hassabis, Martin A. Riedmiller

Nat., 2022

2020

Real World Games Look Like Spinning Tops.

Wojciech M. Czarnecki, Gauthier Gidel, Brendan D. Tracey, Karl Tuyls, Shayegan Omidshafiei, David Balduzzi, Max Jaderberg

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

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

Kunal Menda, Yi-Chun Chen, Justin Grana, James W. Bono, Brendan D. Tracey, Mykel J. Kochenderfer, David H. Wolpert

IEEE Trans. Intell. Transp. Syst., 2019

Nonlinear Information Bottleneck.

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

Entropy, 2019

Caveats for information bottleneck in deterministic scenarios.

Artemy Kolchinsky, Brendan D. Tracey, Steven Van Kuyk

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Pathologies in information bottleneck for deterministic supervised learning.

Artemy Kolchinsky, Brendan D. Tracey, Steven Van Kuyk

CoRR, 2018

On the Information Bottleneck Theory of Deep Learning.

Andrew M. Saxe, Yamini Bansal, Joel Dapello, Madhu Advani, Artemy Kolchinsky, Brendan D. Tracey, David D. Cox

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

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

Artemy Kolchinsky, Brendan D. Tracey

Entropy, 2017

Estimating Mixture Entropy with Pairwise Distances.

Artemy Kolchinsky, Brendan D. Tracey

Entropy, 2017

Modeling Social Organizations as Communication Networks.

David H. Wolpert, Justin Grana, Brendan D. Tracey, Tim Kohler, Artemy Kolchinsky

CoRR, 2017

2016

Dynamics of beneficial epidemics.

Andrew Berdahl, Christa Brelsford, Caterina De Bacco, Marion Dumas, Vanessa Ferdinand, Joshua A. Grochow, Laurent Hébert-Dufresne, Yoav Kallus, Christopher P. Kempes, Artemy Kolchinsky, Daniel B. Larremore, Eric Libby, Eleanor A. Power, Caitlin A. Stern, Brendan D. Tracey

CoRR, 2016

2013

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

Ritchie Lee, David H. Wolpert, James W. Bono, Scott Backhaus, Russell Bent, Brendan D. Tracey

Proceedings of the Decision Making and Imperfection, 2013

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

Scott Backhaus, Russell Bent, James W. Bono, Ritchie Lee, Brendan D. Tracey, David H. Wolpert, Dongping Xie, Yildiray Yildiz

IEEE Trans. Smart Grid, 2013

2012

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

Ritchie Lee, David H. Wolpert, James W. Bono, Scott Backhaus, Russell Bent, Brendan D. Tracey

CoRR, 2012

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

Erik J. Schlicht, Ritchie Lee, David H. Wolpert, Mykel J. Kochenderfer, Brendan D. Tracey

Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012

2011

Using Supervised Learning to Improve Monte Carlo Integral Estimation

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

CoRR, 2011