Brendan D. Tracey

Publication Activity (10 Years)

Years Active: 2011-2023
Publications (10 Years): 18

Top Topics

Reinforcement Learning

Data From Multiple Sources

Top Venues

IEEE Trans. Intell. Transp. Syst.

Publications

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
Towards practical reinforcement learning for tokamak magnetic control. CoRR (2023)
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
From motor control to team play in simulated humanoid football. Sci. Robotics 7 (69) (2022)
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
Magnetic control of tokamak plasmas through deep reinforcement learning. Nat. 602 (7897) (2022)
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
From Motor Control to Team Play in Simulated Humanoid Football. CoRR (2021)
Wojciech M. Czarnecki, Gauthier Gidel, Brendan D. Tracey, Karl Tuyls, Shayegan Omidshafiei, David Balduzzi, Max Jaderberg
Real World Games Look Like Spinning Tops. NeurIPS (2020)
Wojciech Marian Czarnecki, Gauthier Gidel, Brendan D. Tracey, Karl Tuyls, Shayegan Omidshafiei, David Balduzzi, Max Jaderberg
Real World Games Look Like Spinning Tops. CoRR (2020)
Artemy Kolchinsky, Brendan D. Tracey, David H. Wolpert
Nonlinear Information Bottleneck. Entropy 21 (12) (2019)
Artemy Kolchinsky, Brendan D. Tracey, Steven Van Kuyk
Caveats for information bottleneck in deterministic scenarios. ICLR (Poster) (2019)
Kunal Menda, Yi-Chun Chen, Justin Grana, James W. Bono, Brendan D. Tracey, Mykel J. Kochenderfer, David H. Wolpert
Deep Reinforcement Learning for Event-Driven Multi-Agent Decision Processes. IEEE Trans. Intell. Transp. Syst. 20 (4) (2019)
Andrew M. Saxe, Yamini Bansal, Joel Dapello, Madhu Advani, Artemy Kolchinsky, Brendan D. Tracey, David D. Cox
On the Information Bottleneck Theory of Deep Learning. ICLR (Poster) (2018)
Artemy Kolchinsky, Brendan D. Tracey, Steven Van Kuyk
Pathologies in information bottleneck for deterministic supervised learning. CoRR (2018)
Artemy Kolchinsky, Brendan D. Tracey, David H. Wolpert
Nonlinear Information Bottleneck. CoRR (2017)
Kunal Menda, Yi-Chun Chen, Justin Grana, James W. Bono, Brendan D. Tracey, Mykel J. Kochenderfer, David H. Wolpert
Deep Reinforcement Learning for Event-Driven Multi-Agent Decision Processes. CoRR (2017)
Artemy Kolchinsky, Brendan D. Tracey
, 361. Entropy 19 (11) (2017)
David H. Wolpert, Justin Grana, Brendan D. Tracey, Tim Kohler, Artemy Kolchinsky
Modeling Social Organizations as Communication Networks. CoRR (2017)
Artemy Kolchinsky, Brendan D. Tracey
Estimating Mixture Entropy with Pairwise Distances. CoRR (2017)
Artemy Kolchinsky, Brendan D. Tracey
Estimating Mixture Entropy with Pairwise Distances. Entropy 19 (7) (2017)
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
Dynamics of beneficial epidemics. CoRR (2016)
Erik J. Schlicht, Ritchie Lee, David H. Wolpert, Mykel J. Kochenderfer, Brendan D. Tracey
Predicting the behavior of interacting humans by fusing data from multiple sources. CoRR (2014)
Scott Backhaus, Russell Bent, James W. Bono, Ritchie Lee, Brendan D. Tracey, David H. Wolpert, Dongping Xie, Yildiray Yildiz
Cyber-Physical Security: A Game Theory Model of Humans Interacting Over Control Systems. IEEE Trans. Smart Grid 4 (4) (2013)
Scott Backhaus, Russell Bent, James W. Bono, Ritchie Lee, Brendan D. Tracey, David H. Wolpert, Dongping Xie, Yildiray Yildiz
Cyber-Physical Security: A Game Theory Model of Humans Interacting over Control Systems CoRR (2013)
Erik J. Schlicht, Ritchie Lee, David H. Wolpert, Mykel J. Kochenderfer, Brendan D. Tracey
Predicting the behavior of interacting humans by fusing data from multiple sources. UAI (2012)
Erik J. Schlicht, Ritchie Lee, David H. Wolpert, Mykel J. Kochenderfer, Brendan D. Tracey
Predicting the behavior of interacting humans by fusing data from multiple sources CoRR (2012)
Ritchie Lee, David H. Wolpert, James W. Bono, Scott Backhaus, Russell Bent, Brendan D. Tracey
Counter-Factual Reinforcement Learning: How to Model Decision-Makers That Anticipate The Future CoRR (2012)
Brendan D. Tracey, David H. Wolpert, Juan J. Alonso
Using Supervised Learning to Improve Monte Carlo Integral Estimation CoRR (2011)