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Author Information
Aditya Gopalan (Indian Institute of Science)
Sungjoon Choi (Disney Research)
Thomas Ringstrom (University of Minnesota)
Roy Fox (UC Berkeley)
[Roy Fox](http://roydfox.com/) is a postdoc at UC Berkeley working with [Ion Stoica](http://people.eecs.berkeley.edu/~istoica/) in the Real-Time Intelligent Secure Explainable lab ([RISELab](https://rise.cs.berkeley.edu/)), and with [Ken Goldberg](http://goldberg.berkeley.edu/) in the Laboratory for Automation Science and Engineering ([AUTOLAB](http://autolab.berkeley.edu/)). His research interests include reinforcement learning, dynamical systems, information theory, automation, and the connections between these fields. His current research focuses on automatic discovery of hierarchical control structures in deep reinforcement learning and in imitation learning of robotic tasks. Roy holds a MSc in Computer Science from the [Technion](http://www.cs.technion.ac.il/), under the supervision of [Moshe Tennenholtz](http://iew3.technion.ac.il/Home/Users/Moshet.phtml), and a PhD in Computer Science from the [Hebrew University](http://www.cs.huji.ac.il/), under the supervision of [Naftali Tishby](http://www.cs.huji.ac.il/~tishby/). He was an exchange PhD student with [Larry Abbott](http://www.cs.huji.ac.il/~tishby/) and [Liam Paninski](http://www.stat.columbia.edu/~liam/) at the [Center for Theoretical Neuroscience](http://www.neurotheory.columbia.edu/) at Columbia University, and a research intern at Microsoft Research.
Jonas Degrave (Deepmind)
Xiya Cao (Columbia University)
Karl Pertsch (University of Southern California)
Maximilian Igl (University of Oxford)
Brian Ichter (Google Brain)
More from the Same Authors
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2021 : Temporal-Difference Value Estimation via Uncertainty-Guided Soft Updates »
Litian Liang · Yaosheng Xu · Stephen McAleer · Dailin Hu · Alexander Ihler · Pieter Abbeel · Roy Fox -
2021 : Target Entropy Annealing for Discrete Soft Actor-Critic »
Yaosheng Xu · Dailin Hu · Litian Liang · Stephen McAleer · Pieter Abbeel · Roy Fox -
2021 : Count-Based Temperature Scheduling for Maximum Entropy Reinforcement Learning »
Dailin Hu · Pieter Abbeel · Roy Fox -
2022 : Feasible Adversarial Robust Reinforcement Learning for Underspecified Environments »
JB Lanier · Stephen McAleer · Pierre Baldi · Roy Fox -
2021 Poster: XDO: A Double Oracle Algorithm for Extensive-Form Games »
Stephen McAleer · JB Lanier · Kevin A Wang · Pierre Baldi · Roy Fox -
2021 Poster: Snowflake: Scaling GNNs to high-dimensional continuous control via parameter freezing »
Charles Blake · Vitaly Kurin · Maximilian Igl · Shimon Whiteson -
2019 : Coffee break, posters, and 1-on-1 discussions »
Julius von Kügelgen · David Rohde · Candice Schumann · Grace Charles · Victor Veitch · Vira Semenova · Mert Demirer · Vasilis Syrgkanis · Suraj Nair · Aahlad Puli · Masatoshi Uehara · Aditya Gopalan · Yi Ding · Ignavier Ng · Khashayar Khosravi · Eli Sherman · Shuxi Zeng · Aleksander Wieczorek · Hao Liu · Kyra Gan · Jason Hartford · Miruna Oprescu · Alexander D'Amour · Jörn Boehnke · Yuta Saito · Théophile Griveau-Billion · Chirag Modi · Shyngys Karimov · Jeroen Berrevoets · Logan Graham · Imke Mayer · Dhanya Sridhar · Issa Dahabreh · Alan Mishler · Duncan Wadsworth · Khizar Qureshi · Rahul Ladhania · Gota Morishita · Paul Welle -
2019 : Poster and Coffee Break 2 »
Karol Hausman · Kefan Dong · Ken Goldberg · Lihong Li · Lin Yang · Lingxiao Wang · Lior Shani · Liwei Wang · Loren Amdahl-Culleton · Lucas Cassano · Marc Dymetman · Marc Bellemare · Marcin Tomczak · Margarita Castro · Marius Kloft · Marius-Constantin Dinu · Markus Holzleitner · Martha White · Mengdi Wang · Michael Jordan · Mihailo Jovanovic · Ming Yu · Minshuo Chen · Moonkyung Ryu · Muhammad Zaheer · Naman Agarwal · Nan Jiang · Niao He · Nikolaus Yasui · Nikos Karampatziakis · Nino Vieillard · Ofir Nachum · Olivier Pietquin · Ozan Sener · Pan Xu · Parameswaran Kamalaruban · Paul Mineiro · Paul Rolland · Philip Amortila · Pierre-Luc Bacon · Prakash Panangaden · Qi Cai · Qiang Liu · Quanquan Gu · Raihan Seraj · Richard Sutton · Rick Valenzano · Robert Dadashi · Rodrigo Toro Icarte · Roshan Shariff · Roy Fox · Ruosong Wang · Saeed Ghadimi · Samuel Sokota · Sean Sinclair · Sepp Hochreiter · Sergey Levine · Sergio Valcarcel Macua · Sham Kakade · Shangtong Zhang · Sheila McIlraith · Shie Mannor · Shimon Whiteson · Shuai Li · Shuang Qiu · Wai Lok Li · Siddhartha Banerjee · Sitao Luan · Tamer Basar · Thinh Doan · Tianhe Yu · Tianyi Liu · Tom Zahavy · Toryn Klassen · Tuo Zhao · Vicenç Gómez · Vincent Liu · Volkan Cevher · Wesley Suttle · Xiao-Wen Chang · Xiaohan Wei · Xiaotong Liu · Xingguo Li · Xinyi Chen · Xingyou Song · Yao Liu · YiDing Jiang · Yihao Feng · Yilun Du · Yinlam Chow · Yinyu Ye · Yishay Mansour · · Yonathan Efroni · Yongxin Chen · Yuanhao Wang · Bo Dai · Chen-Yu Wei · Harsh Shrivastava · Hongyang Zhang · Qinqing Zheng · SIDDHARTHA SATPATHI · Xueqing Liu · Andreu Vall -
2019 : Poster Presentations »
Rahul Mehta · Andrew Lampinen · Binghong Chen · Sergio Pascual-Diaz · Jordi Grau-Moya · Aldo Faisal · Jonathan Tompson · Yiren Lu · Khimya Khetarpal · Martin Klissarov · Pierre-Luc Bacon · Doina Precup · Thanard Kurutach · Aviv Tamar · Pieter Abbeel · Jinke He · Maximilian Igl · Shimon Whiteson · Wendelin Boehmer · Raphaël Marinier · Olivier Pietquin · Karol Hausman · Sergey Levine · Chelsea Finn · Tianhe Yu · Lisa Lee · Benjamin Eysenbach · Emilio Parisotto · Eric Xing · Ruslan Salakhutdinov · Hongyu Ren · Anima Anandkumar · Deepak Pathak · Christopher Lu · Trevor Darrell · Alexei Efros · Phillip Isola · Feng Liu · Bo Han · Gang Niu · Masashi Sugiyama · Saurabh Kumar · Janith Petangoda · Johan Ferret · James McClelland · Kara Liu · Animesh Garg · Robert Lange -
2019 Poster: Generalization in Reinforcement Learning with Selective Noise Injection and Information Bottleneck »
Maximilian Igl · Kamil Ciosek · Yingzhen Li · Sebastian Tschiatschek · Cheng Zhang · Sam Devlin · Katja Hofmann -
2019 Poster: Bayesian Optimization under Heavy-tailed Payoffs »
Sayak Ray Chowdhury · Aditya Gopalan -
2019 Spotlight: Bayesian Optimization under Heavy-tailed Payoffs »
Sayak Ray Chowdhury · Aditya Gopalan -
2019 Poster: Combinatorial Bandits with Relative Feedback »
Aadirupa Saha · Aditya Gopalan -
2018 : Discussion Panel: Ryan Adams, Nicolas Heess, Leslie Kaelbling, Shie Mannor, Emo Todorov (moderator: Roy Fox) »
Ryan Adams · Nicolas Heess · Leslie Kaelbling · Shie Mannor · Emo Todorov · Roy Fox -
2018 : Poster Session 1 »
Kyle H Ambert · Brandon Araki · Xiya Cao · Sungjoon Choi · Hao(Jackson) Cui · Jonas Degrave · Yaqi Duan · Mattie Fellows · Carlos Florensa · Karan Goel · Aditya Gopalan · Ming-Xu Huang · Jonathan Hunt · Cyril Ibrahim · Brian Ichter · Maximilian Igl · Zheng Tracy Ke · Igor Kiselev · Anuj Mahajan · Arash Mehrjou · Karl Pertsch · Alexandre Piche · Nicholas Rhinehart · Thomas Ringstrom · Reazul Hasan Russel · Oleh Rybkin · Ion Stoica · Sharad Vikram · Angelina Wang · Ting-Han Wei · Abigail H Wen · I-Chen Wu · Zhengwei Wu · Linhai Xie · Dinghan Shen -
2018 : Opening Remarks »
Roy Fox -
2018 Workshop: Infer to Control: Probabilistic Reinforcement Learning and Structured Control »
Leslie Kaelbling · Martin Riedmiller · Marc Toussaint · Igor Mordatch · Roy Fox · Tuomas Haarnoja -
2018 Poster: BRUNO: A Deep Recurrent Model for Exchangeable Data »
Iryna Korshunova · Jonas Degrave · Ferenc Huszar · Yarin Gal · Arthur Gretton · Joni Dambre -
2018 Poster: Maximum Causal Tsallis Entropy Imitation Learning »
Kyungjae Lee · Sungjoon Choi · Songhwai Oh -
2017 : Panel Discussion »
Matt Botvinick · Emma Brunskill · Marcos Campos · Jan Peters · Doina Precup · David Silver · Josh Tenenbaum · Roy Fox -
2017 : Opening Remarks »
Roy Fox -
2017 Workshop: Hierarchical Reinforcement Learning »
Andrew G Barto · Doina Precup · Shie Mannor · Tom Schaul · Roy Fox · Carlos Florensa