Brendan D. Tracey

29 papers A* 2A 1Journal 23Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Improving cosmological reach of a gravitational wave observatory using Deep Loop Shaping. CoRR Jonas Buchli, Brendan D. Tracey, Tomislav Andric, Christopher Wipf, Yu Him Justin Chiu, Matthias Lochbrunner, Craig Donner, Rana X. Adhikari, Jan Harms, Iain Barr, Roland Hafner, Andrea Huber, Abbas Abdolmaleki, Charlie Beattie, Joseph Betzwieser, Serkan Cabi, Jonas Degrave, Yuzhu Dong, Leslie Fritz, Anchal Gupta, Oliver Groth, Sandy H. Huang, Tamara Norman, Hannah Openshaw, Jameson Rollins, Greg Thornton, George Van Den Driessche, Markus Wulfmeier, Pushmeet Kohli, Martin A. Riedmiller, LIGO Instrument Team
2025	A*	`conf`	Wasserstein Policy Optimization. ICML David Pfau, Ian Davies, Diana L. Borsa, João Guilherme Madeira Araújo, Brendan D. Tracey, Hado van Hasselt
2025	J	`jnl`	Wasserstein Policy Optimization. CoRR David Pfau, Ian Davies, Diana Borsa, João G. M. Araújo, Brendan D. Tracey, Hado van Hasselt
2023	J	`jnl`	Towards practical reinforcement learning for tokamak magnetic control. CoRR 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, TCV Team
2022	J	`jnl`	From motor control to team play in simulated humanoid football. Sci. Robotics 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
2022	J	`jnl`	Magnetic control of tokamak plasmas through deep reinforcement learning. Nat. 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
2021	J	`jnl`	From Motor Control to Team Play in Simulated Humanoid Football. CoRR 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
2020	A*	`conf`	Real World Games Look Like Spinning Tops. NeurIPS Wojciech M. Czarnecki, Gauthier Gidel, Brendan D. Tracey, Karl Tuyls, Shayegan Omidshafiei, David Balduzzi, Max Jaderberg
2020	J	`jnl`	Real World Games Look Like Spinning Tops. CoRR Wojciech Marian Czarnecki, Gauthier Gidel, Brendan D. Tracey, Karl Tuyls, Shayegan Omidshafiei, David Balduzzi, Max Jaderberg
2019	—	`conf`	Caveats for information bottleneck in deterministic scenarios. ICLR (Poster) Artemy Kolchinsky, Brendan D. Tracey, Steven Van Kuyk
2019	J	`jnl`	Deep Reinforcement Learning for Event-Driven Multi-Agent Decision Processes. IEEE Trans. Intell. Transp. Syst. Kunal Menda, Yi-Chun Chen, Justin Grana, James W. Bono, Brendan D. Tracey, Mykel J. Kochenderfer, David H. Wolpert
2019	J	`jnl`	Nonlinear Information Bottleneck. Entropy Artemy Kolchinsky, Brendan D. Tracey, David H. Wolpert
2018	—	`conf`	On the Information Bottleneck Theory of Deep Learning. ICLR (Poster) Andrew M. Saxe, Yamini Bansal, Joel Dapello, Madhu Advani, Artemy Kolchinsky, Brendan D. Tracey, David D. Cox
2018	J	`jnl`	Pathologies in information bottleneck for deterministic supervised learning. CoRR Artemy Kolchinsky, Brendan D. Tracey, Steven Van Kuyk
2017	J	`jnl`	Correction: Kolchinsky, A. and Tracey, B.D. Estimating Mixture Entropy with Pairwise Distances. Entropy Artemy Kolchinsky, Brendan D. Tracey
2017	J	`jnl`	Deep Reinforcement Learning for Event-Driven Multi-Agent Decision Processes. CoRR Kunal Menda, Yi-Chun Chen, Justin Grana, James W. Bono, Brendan D. Tracey, Mykel J. Kochenderfer, David H. Wolpert
2017	J	`jnl`	Estimating Mixture Entropy with Pairwise Distances. CoRR Artemy Kolchinsky, Brendan D. Tracey
2017	J	`jnl`	Estimating Mixture Entropy with Pairwise Distances. Entropy Artemy Kolchinsky, Brendan D. Tracey
2017	J	`jnl`	Modeling Social Organizations as Communication Networks. CoRR David H. Wolpert, Justin Grana, Brendan D. Tracey, Tim Kohler, Artemy Kolchinsky
2017	J	`jnl`	Nonlinear Information Bottleneck. CoRR Artemy Kolchinsky, Brendan D. Tracey, David H. Wolpert
2016	J	`jnl`	Dynamics of beneficial epidemics. CoRR 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
2014	J	`jnl`	Predicting the behavior of interacting humans by fusing data from multiple sources. CoRR Erik J. Schlicht, Ritchie Lee, David H. Wolpert, Mykel J. Kochenderfer, Brendan D. Tracey
2013	—	`ch.`	Counter-Factual Reinforcement Learning: How to Model Decision-Makers That Anticipate the Future. Decision Making and Imperfection Ritchie Lee, David H. Wolpert, James W. Bono, Scott Backhaus, Russell Bent, Brendan D. Tracey
2013	J	`jnl`	Cyber-Physical Security: A Game Theory Model of Humans Interacting Over Control Systems. IEEE Trans. Smart Grid Scott Backhaus, Russell Bent, James W. Bono, Ritchie Lee, Brendan D. Tracey, David H. Wolpert, Dongping Xie, Yildiray Yildiz
2013	J	`jnl`	Cyber-Physical Security: A Game Theory Model of Humans Interacting over Control Systems CoRR Scott Backhaus, Russell Bent, James W. Bono, Ritchie Lee, Brendan D. Tracey, David H. Wolpert, Dongping Xie, Yildiray Yildiz
2012	J	`jnl`	Counter-Factual Reinforcement Learning: How to Model Decision-Makers That Anticipate The Future CoRR Ritchie Lee, David H. Wolpert, James W. Bono, Scott Backhaus, Russell Bent, Brendan D. Tracey
2012	J	`jnl`	Predicting the behavior of interacting humans by fusing data from multiple sources CoRR Erik J. Schlicht, Ritchie Lee, David H. Wolpert, Mykel J. Kochenderfer, Brendan D. Tracey
2012	A	`conf`	Predicting the behavior of interacting humans by fusing data from multiple sources. UAI Erik J. Schlicht, Ritchie Lee, David H. Wolpert, Mykel J. Kochenderfer, Brendan D. Tracey
2011	J	`jnl`	Using Supervised Learning to Improve Monte Carlo Integral Estimation CoRR Brendan D. Tracey, David H. Wolpert, Juan J. Alonso