Gus Kouretas

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All published works

Action	Title	Year	Authors
+	Robotic Table Tennis: A Case Study into a High Speed Learning System	2023	David B. D’Ambrosio Navdeep Jaitly Vikas Sindhwani Ken Oslund Peng Xu Nevena Lazic Anish Shankar Tianli Ding Jonathan Abelian Erwin Coumans
+	Robotic Table Tennis: A Case Study into a High Speed Learning System	2023	David B. D’Ambrosio Jonathan Abelian Saminda Abeyruwan Michael J. Ahn Alex Bewley Justin D. Boyd Krzysztof Choromański Omar Andrés Carmona Cortes Erwin Coumans Tianli Ding

Common Coauthors

Coauthor	Papers Together
Tianli Ding	2
Laura Graesser	2
Justin D. Boyd	2
Saminda Abeyruwan	2
Yuheng Kuang	2
Jonathan Abelian	2
Navdeep Jaitly	2
Satoshi Kataoka	2
Vincent Vanhoucke	2
Atıl Işçen	2
Wenbo Gao	2
Corey Lynch	2
Reza Mahjourian	2
Krzysztof Choromański	2
Juhana Kangaspunta	2
Anish Shankar	2
Deepali Jain	2
Nevena Lazic	2
Alex Bewley	2
Michael J. Ahn	2
Vikas Sindhwani	2
Krista Reymann	2
Sherry Moore	2
Pannag Sanketi	2
Pierre Sermanet	2
Avi Singh	2
Grace Vesom	2
Thinh Nguyen	2
Omar Andrés Carmona Cortes	2
David B. D’Ambrosio	2
Ken Oslund	2
Erwin Coumans	2
Peng Xu	1
Barney J. Reed	1
Peng Xu	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	OpenAI Gym	2016	Greg Brockman Vicki Cheung Ludwig Pettersson Jonas Schneider John Schulman Jie Tang Wojciech Zaremba	2
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy	2
+	End to End Learning for Self-Driving Cars	2016	Mariusz Bojarski Davide Del Testa Daniel Dworakowski Bernhard Firner Beat Flepp Prasoon Goyal Lawrence D. Jackel Mathew Monfort Urs Müller Jiakai Zhang	2
+ PDF Chat	Deep predictive policy training using reinforcement learning	2017	Ali Ghadirzadeh Atsuto Maki Danica Kragić Mårten Björkman	2
+	Evolution Strategies as a Scalable Alternative to Reinforcement Learning	2017	Tim Salimans Jonathan Ho Xi Chen Ilya Sutskever	2
+	Proximal Policy Optimization Algorithms	2017	John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov	2
+	Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor	2018	Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine	2
+	Agile Autonomous Driving using End-to-End Deep Imitation Learning	2018	Yunpeng Pan Ching-An Cheng Kamil Saigol Keuntaek Lee Xinyan Yan Evangelos A. Theodorou Byron Boots	2
+	Learning to Walk Via Deep Reinforcement Learning	2019	Tuomas Haarnoja Sehoon Ha Aurick Zhou Jie Tan George Tucker Sergey Levine	2
+	Learning agile and dynamic motor skills for legged robots	2019	Jemin Hwangbo Joonho Lee Alexey Dosovitskiy C. Dario Bellicoso Vassilios Tsounis Vladlen Koltun Marco Hutter	2
+ PDF Chat	Neural Network Dynamics for Model-Based Deep Reinforcement Learning with Model-Free Fine-Tuning	2018	Anusha Nagabandi Gregory Kahn Ronald S. Fearing Sergey Levine	2
+	Differentiable Algorithm Networks for Composable Robot Learning	2019	Péter Karkus Xiao Ma David Hsu Leslie Pack Kaelbling Wee Sun Lee Tomás Lozano‐Pérez	2
+ PDF Chat	TossingBot: Learning to Throw Arbitrary Objects With Residual Physics	2020	Andy Zeng Shuran Song Johnny Lee Alberto Rodríguez Thomas Funkhouser	2
+	Sim-to-Real: Learning Agile Locomotion For Quadruped Robots	2018	Jie Tan Tingnan Zhang Erwin Coumans Atıl Işçen Yunfei Bai Danijar Hafner Steven Bohez Vincent Vanhoucke	2
+ PDF Chat	Closing the Sim-to-Real Loop: Adapting Simulation Randomization with Real World Experience	2019	Yevgen Chebotar Ankur Handa Viktor Makoviychuk Miles Macklin Jan Issac Nathan Ratliff Dieter Fox	2
+	Legged Locomotion in Challenging Terrains using Egocentric Vision	2022	Ananye Agarwal Ashish Kumar Jitendra Malik Deepak Pathak	2
+ PDF Chat	Safe Reinforcement Learning for Legged Locomotion	2022	Tsung-Yen Yang Tingnan Zhang Linda Luu Sehoon Ha Jie Tan Wenhao Yu	2
+	Agile Catching with Whole-Body MPC and Blackbox Policy Learning	2023	Saminda Abeyruwan Alex Bewley Nicholas M. Boffi Krzysztof Choromański David D‘Ambrosio Deepali Jain Pannag Sanketi Anish Shankar Vikas Sindhwani Sumeet Singh	2
+	Objects as Points	2019	Xingyi Zhou Dequan Wang Philipp Krähenbühl	2
+	Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting	2015	Xingjian Shi Zhourong Chen Hao Wang Dit‐Yan Yeung Wai Kin Wong Wang‐chun Woo	2
+	Solving Rubik's Cube with a Robot Hand	2019	OpenAI Ilge Akkaya Marcin Andrychowicz Maciek Chociej Mateusz Litwin Bob McGrew Arthur J Petron Alex Paino Matthias Plappert Glenn Powell	2
+ PDF Chat	A Comparison of Action Spaces for Learning Manipulation Tasks	2019	Patrick Varin Lev Grossman Scott Kuindersma	2
+	Learning Agile Robotic Locomotion Skills by Imitating Animals	2020	Xue Bin Peng Erwin Coumans Tingnan Zhang Tsang-Wei Lee Jie Tan Sergey Levine	2
+	Learning from Suboptimal Demonstration via Self-Supervised Reward Regression	2020	Letian Chen Rohan Paleja Matthew Gombolay	2
+ PDF Chat	Tracking Objects as Points	2020	Xingyi Zhou Vladlen Koltun Philipp Krähenbühl	2
+ PDF Chat	Sim-to-Real Transfer of Robotic Control with Dynamics Randomization	2018	Xue Bin Peng Marcin Andrychowicz Wojciech Zaremba Pieter Abbeel	2
+	Joint Goal and Strategy Inference across Heterogeneous Demonstrators via Reward Network Distillation	2020	Letian Chen Rohan Paleja Muyleng Ghuy Matthew Gombolay	2
+ PDF Chat	Robotic Table Tennis with Model-Free Reinforcement Learning	2020	Wenbo Gao Laura Graesser Krzysztof Choromański Xingyou Song Nevena Lazic Pannag Sanketi Vikas Sindhwani Navdeep Jaitly	2
+	Local Metrics for Multi-Object Tracking	2021	Jack Valmadre Alex Bewley Jonathan Huang Chen Sun Cristian Sminchisescu Cordelia Schmid	2
+ PDF Chat	Neural Collision Clearance Estimator for Batched Motion Planning	2021	J. Chase Kew Brian Ichter Maryam Bandari Tsang-Wei Edward Lee Aleksandra Faust	2
+ PDF Chat	Optimal stroke learning with policy gradient approach for robotic table tennis	2022	Yapeng Gao Jonas Tebbe Andreas Zell	2
+ PDF Chat	Legged Robots that Keep on Learning: Fine-Tuning Locomotion Policies in the Real World	2022	Laura Smith J. Chase Kew Xue Bin Peng Sehoon Ha Jie Tan Sergey Levine	2
+ PDF Chat	Sample-efficient Reinforcement Learning in Robotic Table Tennis	2021	Jonas Tebbe Lukas Krauch Yapeng Gao Andreas Zell	2
+ PDF Chat	Learning Task Space Actions for Bipedal Locomotion	2021	Helei Duan Jeremy Dao Kevin Green Taylor Apgar Alan Fern Jonathan Hurst	2
+	i-Sim2Real: Reinforcement Learning of Robotic Policies in Tight Human-Robot Interaction Loops	2022	Saminda Abeyruwan Laura Graesser David B. D’Ambrosio Avi Singh Anish Shankar Alex Bewley Pannag Sanketi	2
+	Learning to Play Table Tennis From Scratch using Muscular Robots	2020	Dieter Büchler Simon Guist Roberto Calandra Vincent Berenz Bernhard Schölkopf Jan Peters	2
+	Glow: Generative Flow with Invertible 1x1 Convolutions	2018	Diederik P. Kingma Prafulla Dhariwal	2
+	A Walk in the Park: Learning to Walk in 20 Minutes With Model-Free Reinforcement Learning	2022	Laura Smith Ilya Kostrikov Sergey Levine	2
+	Structured Evolution with Compact Architectures for Scalable Policy Optimization	2018	Krzysztof Choromański Mark Rowland Vikas Sindhwani Richard E. Turner Adrian Weller	2
+	Acme: A Research Framework for Distributed Reinforcement Learning	2020	Matthew W. Hoffman Bobak Shahriari John Aslanides Gabriel Barth-Maron Nikola Momchev Danila Sinopalnikov Piotr Stańczyk Sabela Ramos Anton Raichuk Damien Vincent	2
+	Explaining How a Deep Neural Network Trained with End-to-End Learning Steers a Car	2017	Mariusz Bojarski Philip Yeres Anna Choromanska Krzysztof Choromański Bernhard Firner Lawrence D. Jackel Urs Müller	2
+	GoalsEye: Learning High Speed Precision Table Tennis on a Physical Robot	2022	Tianli Ding Laura Graesser Saminda Abeyruwan David B. D’Ambrosio Anish Shankar Pierre Sermanet Pannag Sanketi Corey Lynch	2
+ PDF Chat	Reinforcement Learning on Variable Impedance Controller for High-Precision Robotic Assembly	2019	Jianlan Luo Eugen Solowjow Chengtao Wen Juan Aparicio Ojea Alice M. Agogino Aviv Tamar Pieter Abbeel	1
+	Hierarchical Policy Design for Sample-Efficient Learning of Robot Table Tennis Through Self-Play	2018	Reza Mahjourian Risto Miikkulainen Nevena Lazic Sergey Levine Navdeep Jaitly	1
+ PDF Chat	Learning quadrupedal locomotion over challenging terrain	2020	Joonho Lee Jemin Hwangbo Lorenz Wellhausen Vladlen Koltun Marco Hutter	1
+ PDF Chat	Variable Impedance Control in End-Effector Space: An Action Space for Reinforcement Learning in Contact-Rich Tasks	2019	Roberto Martín-Martín Michelle A. Lee Rachel Gardner Silvio Savarese Jeannette Bohg Animesh Garg	1
+	Simple random search provides a competitive approach to reinforcement learning	2018	Horia Mania Aurelia Guy Benjamin Recht	1