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ORCIDBrendan D. Tracey
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2020 – today
- 2023
[i14]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 abs/2307.11546 (2023)- 2022
- [j7]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): 414-419 (2022) - [j6]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) - [d1]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:
Figure Data for the paper "From Motor Control to Team Play in Simulated Humanoid Football". Zenodo, 2022
- 2021
- [i13]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 abs/2105.12196 (2021) - 2020
- [c4]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 - [i12]Wojciech Marian Czarnecki, Gauthier Gidel, Brendan D. Tracey, Karl Tuyls, Shayegan Omidshafiei, David Balduzzi, Max Jaderberg:
Real World Games Look Like Spinning Tops. CoRR abs/2004.09468 (2020)
2010 – 2019
- 2019
- [j5]Artemy Kolchinsky, Brendan D. Tracey, David H. Wolpert:
Nonlinear Information Bottleneck. Entropy 21(12): 1181 (2019) - [j4]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): 1259-1268 (2019) - [c3]Artemy Kolchinsky, Brendan D. Tracey, Steven Van Kuyk:
Caveats for information bottleneck in deterministic scenarios. ICLR (Poster) 2019 - 2018
- [c2]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 - [i11]Artemy Kolchinsky, Brendan D. Tracey, Steven Van Kuyk:
Pathologies in information bottleneck for deterministic supervised learning. CoRR abs/1808.07593 (2018) - 2017
- [j3]Artemy Kolchinsky, Brendan D. Tracey:
Estimating Mixture Entropy with Pairwise Distances. Entropy 19(7): 361 (2017) - [j2]Artemy Kolchinsky, Brendan D. Tracey:
Correction: Kolchinsky, A. and Tracey, B.D. Estimating Mixture Entropy with Pairwise Distances. Entropy 2017, 19, 361. Entropy 19(11): 588 (2017) - [i10]David H. Wolpert, Justin Grana, Brendan D. Tracey, Tim Kohler, Artemy Kolchinsky:
Modeling Social Organizations as Communication Networks. CoRR abs/1702.04449 (2017) - [i9]Artemy Kolchinsky, Brendan D. Tracey, David H. Wolpert:
Nonlinear Information Bottleneck. CoRR abs/1705.02436 (2017) - [i8]Artemy Kolchinsky, Brendan D. Tracey:
Estimating Mixture Entropy with Pairwise Distances. CoRR abs/1706.02419 (2017) - [i7]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 abs/1709.06656 (2017) - 2016
- [i6]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 abs/1604.02096 (2016) - 2014
- [i5]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 abs/1408.2053 (2014) - 2013
- [j1]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): 2320-2327 (2013) - [p1]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. Decision Making and Imperfection 2013: 101-128 - [i4]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 abs/1304.3996 (2013) - 2012
- [c1]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: 756-765 - [i3]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 abs/1206.6080 (2012) - [i2]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 abs/1207.0852 (2012) - 2011
- [i1]Brendan D. Tracey, David H. Wolpert, Juan J. Alonso:
Using Supervised Learning to Improve Monte Carlo Integral Estimation. CoRR abs/1108.4879 (2011)
Coauthor Index
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