Rati Devidze

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All published works

Action	Title	Year	Authors
+ PDF Chat	Informativeness of Reward Functions in Reinforcement Learning	2024	Rati Devidze Parameswaran Kamalaruban Adish Singla
+	Learning to Play Text-based Adventure Games with Maximum Entropy Reinforcement Learning	2023	Weichen Li Rati Devidze Sophie Fellenz
+	Curriculum Design for Teaching via Demonstrations: Theory and Applications	2021	Gaurav Yengera Rati Devidze Parameswaran Kamalaruban Adish Singla
+	Curriculum Design for Teaching via Demonstrations: Theory and Applications	2021	Gaurav Yengera Rati Devidze Parameswaran Kamalaruban Adish Singla
+	Policy Teaching in Reinforcement Learning via Environment Poisoning Attacks	2021	Amin Rakhsha Goran Radanović Rati Devidze Xiaojin Zhu Adish Singla
+	Curriculum Design for Teaching via Demonstrations: Theory and Applications	2021	Gaurav Yengera Rati Devidze Parameswaran Kamalaruban Adish Singla
+	Understanding the Power and Limitations of Teaching with Imperfect Knowledge	2020	Rati Devidze Farnam Mansouri Luis Haug Yuxin Chen Adish Singla
+	Policy Teaching via Environment Poisoning: Training-time Adversarial Attacks against Reinforcement Learning	2020	Amin Rakhsha Goran Radanović Rati Devidze Xiaojin Zhu Adish Singla
+	Policy Teaching via Environment Poisoning: Training-time Adversarial Attacks against Reinforcement Learning	2020	Amin Rakhsha Goran Radanović Rati Devidze Junwei Zhu Adish Singla
+	Environment Shaping in Reinforcement Learning using State Abstraction	2020	Parameswaran Kamalaruban Rati Devidze Volkan Cevher Adish Singla
+	Policy Teaching in Reinforcement Learning via Environment Poisoning Attacks	2020	Amin Rakhsha Goran Radanović Rati Devidze Xiaojin Zhu Adish Singla
+	Understanding the Power and Limitations of Teaching with Imperfect Knowledge	2020	Rati Devidze Farnam Mansouri Luis Haug Yuxin Chen Adish Singla
+	Interactive Teaching Algorithms for Inverse Reinforcement Learning	2019	Parameswaran Kamalaruban Rati Devidze Volkan Cevher Adish Singla
+	Interactive Teaching Algorithms for Inverse Reinforcement Learning	2019	Parameswaran Kamalaruban Rati Devidze Volkan Cevher Adish Singla
+	Learning to Collaborate in Markov Decision Processes	2019	Goran Radanović Rati Devidze David C. Parkes Adish Singla
+	Learner-aware Teaching: Inverse Reinforcement Learning with Preferences and Constraints	2019	Sebastian Tschiatschek Ahana Ghosh Luis Haug Rati Devidze Adish Singla
+	Interactive Teaching Algorithms for Inverse Reinforcement Learning	2019	Parameswaran Kamalaruban Rati Devidze Volkan Cevher Adish Singla
+	Learning to Collaborate in Markov Decision Processes	2019	Goran Radanović Rati Devidze David C. Parkes Adish Singla

Common Coauthors

Coauthor	Papers Together
Adish Singla	17
Parameswaran Kamalaruban	8
Goran Radanović	6
Volkan Cevher	4
Amin Rakhsha	4
Xiaojin Zhu	3
Luis Haug	3
Gaurav Yengera	3
Yuxin Chen	2
David C. Parkes	2
Sophie Fellenz	1
Weichen Li	1
Sebastian Tschiatschek	1
Junwei Zhu	1
Farnam Mansouri	1
Farnam Mansouri	1
Ahana Ghosh	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Machine Teaching for Inverse Reinforcement Learning: Algorithms and Applications	2019	Daniel S. Brown Scott Niekum	7
+	Interactive Teaching Algorithms for Inverse Reinforcement Learning	2019	Parameswaran Kamalaruban Rati Devidze Volkan Cevher Adish Singla	7
+ PDF Chat	An Algorithmic Perspective on Imitation Learning	2018	Takayuki Osa Joni Pajarinen Gerhard Neumann J. Andrew Bagnell Pieter Abbeel Jan Peters	6
+	An Overview of Machine Teaching	2018	Xiaojin Zhu Adish Singla Sandra Zilles Anna N. Rafferty	6
+ PDF Chat	Iterative Classroom Teaching	2019	Teresa Yeo Parameswaran Kamalaruban Adish Singla Arpit Merchant Thibault Asselborn Louis Faucon Pierre Dillenbourg Volkan Cevher	5
+	Understanding the Role of Adaptivity in Machine Teaching: The Case of Version Space Learners	2018	Yuxin Chen Adish Singla Oisin Mac Aodha Pietro Perona Yisong Yue	5
+	Teaching Multiple Concepts to a Forgetful Learner	2018	Anette Hunziker Yuxin Chen Oisin Mac Aodha Manuel Gomez-Rodriguez Andreas Krause Pietro Perona Yisong Yue Adish Singla	4
+	Cooperative Inverse Reinforcement Learning	2016	Dylan Hadfield-Menell Stuart Russell Pieter Abbeel Anca D. Dragan	4
+	Understanding the Power and Limitations of Teaching with Imperfect Knowledge	2020	Rati Devidze Farnam Mansouri Luis Haug Yuxin Chen Adish Singla	3
+	Policy poisoning in batch reinforcement learning and control	2019	Yuzhe Ma Xuezhou Zhang Wen Sun Junwei Zhu	3
+	Maximum Entropy Deep Inverse Reinforcement Learning	2015	Markus Wulfmeier Peter Ondrúška Ingmar Posner	3
+	Cooperative Inverse Reinforcement Learning	2016	Dylan Hadfield-Menell Anca D. Dragan Pieter Abbeel Stuart Russell	3
+	Children’s imitation of causal action sequences is influenced by statistical and pedagogical evidence	2011	Daphna Buchsbaum Alison Gopnik Thomas L. Griffiths Patrick Shafto	3
+	Policy Teaching via Environment Poisoning: Training-time Adversarial Attacks against Reinforcement Learning	2020	Amin Rakhsha Goran Radanović Rati Devidze Junwei Zhu Adish Singla	2
+ PDF Chat	A contextual-bandit approach to personalized news article recommendation	2010	Lihong Li Wei Chu John Langford Robert E. Schapire	2
+	Stronger Data Poisoning Attacks Break Data Sanitization Defenses	2018	Pang Wei Koh Jacob Steinhardt Percy Liang	2
+	An Optimal Control View of Adversarial Machine Learning	2018	Xiaojin Zhu	2
+	Tactics of Adversarial Attack on Deep Reinforcement Learning Agents	2017	Yen-Chen Lin Zhang-Wei Hong Yuan-Hong Liao Meng-Li Shih Ming-Yu Liu Min Sun	2
+	Poisoning Attacks against Support Vector Machines	2012	Battista Biggio Blaine Nelson Pavel Laskov	2
+	Dual Policy Iteration	2018	Wen Sun Geoffrey J. Gordon Byron Boots J. Andrew Bagnell	2
+	Dynamic Teaching in Sequential Decision Making Environments	2012	Thomas J. Walsh Sergiu Goschin	2
+	Understanding the Role of Adaptivity in Machine Teaching: The Case of Version Space Learners	2018	Yuxin Chen Adish Singla Oisin Mac Aodha Pietro Perona Yisong Yue	2
+ PDF Chat	Data Poisoning Attacks in Contextual Bandits	2018	Yuzhe Ma Kwang-Sung Jun Lihong Li Xiaojin Zhu	2
+	Towards Black-box Iterative Machine Teaching	2017	Weiyang Liu Bo Dai Xingguo Li James M. Rehg Le Song	2
+	Iterative Machine Teaching	2017	Weiyang Liu Bo Dai Ahmad Humayun Charlene Tay Yu Chen Linda B. Smith James M. Rehg Le Song	2
+	Generative Adversarial Imitation Learning	2016	Jonathan Ho Stefano Ermon	2
+	Wild Patterns: Ten Years After the Rise of Adversarial Machine Learning	2018	Battista Biggio Fabio Roli	2
+ PDF Chat	First-Person Activity Forecasting with Online Inverse Reinforcement Learning	2017	Nicholas Rhinehart Kris Kitani	2
+ PDF Chat	Teaching Categories to Human Learners with Visual Explanations	2018	Oisin Mac Aodha Shihan Su Yuxin Chen Pietro Perona Yisong Yue	2
+	Data Poisoning Attacks on Factorization-Based Collaborative Filtering	2016	Bo Li Yining Wang Aarti Singh Yevgeniy Vorobeychik	2
+	Modeling Others using Oneself in Multi-Agent Reinforcement Learning	2018	Roberta Raileanu Emily Denton Arthur Szlam Rob Fergus	2
+	Multi-agent Reinforcement Learning in Sequential Social Dilemmas	2017	Joel Z. Leibo Vinícius Zambaldi Marc Lanctot Janusz Marecki Thore Graepel	2
+	Preference-Based Batch and Sequential Teaching: Towards a Unified View of Models	2019	Farnam Mansouri Yuxin Chen Ara Vartanian Xiaojin Zhu Adish Singla	2
+	Policy Poisoning in Batch Reinforcement Learning and Control	2019	Yuzhe Ma Xuezhou Zhang Wen Sun Xiaojin Zhu	2
+ PDF Chat	Deceptive Reinforcement Learning Under Adversarial Manipulations on Cost Signals	2019	Yunhan Huang Quanyan Zhu	2
+	Is feature selection secure against training data poisoning?	2018	Xiao Huang Battista Biggio Gavin Brown Giorgio Fumera Claudia Eckert Fabio Roli	2
+	Adaptive Reward-Poisoning Attacks against Reinforcement Learning	2020	Xuezhou Zhang Yuzhe Ma Adish Singla Junwei Zhu	2
+	Reverse Curriculum Generation for Reinforcement Learning	2017	Carlos Florensa David Held Markus Wulfmeier Michael Zhang Pieter Abbeel	1
+	Learning to Execute	2014	Wojciech Zaremba Ilya Sutskever	1
+	Optimization, Learning, and Games with Predictable Sequences	2013	Sasha Rakhlin Karthik Sridharan	1
+	Online Learning in Markov Decision Processes with Adversarially Chosen Transition Probability Distributions	2013	Yasin Abbasi Peter L. Bartlett Varun Kanade Yevgeny Seldin Csaba Szepesvári	1
+	Continuous control with deep reinforcement learning	2015	Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel Nicolas Heess Tom Erez Yuval Tassa David Silver Daan Wierstra	1
+	Guided Cost Learning: Deep Inverse Optimal Control via Policy Optimization	2016	Chelsea Finn Sergey Levine Pieter Abbeel	1
+	Near Optimal Behavior via Approximate State Abstraction	2017	David Abel D Ellis Hershkowitz Michael L. Littman	1
+	A Review on Bilevel Optimization: From Classical to Evolutionary Approaches and Applications	2017	Ankur Sinha Pekka Malo Kalyanmoy Deb	1
+ PDF Chat	Training Set Debugging Using Trusted Items	2018	Xuezhou Zhang Xiaojin Zhu Stephen J. Wright	1
+ PDF Chat	The iNaturalist Species Classification and Detection Dataset	2018	Grant Van Horn Oisin Mac Aodha Yang Song Yin Cui Chen Sun Alex Shepard Hartwig Adam Pietro Perona Serge Belongie	1
+	Mix&Match - Agent Curricula for Reinforcement Learning	2018	Wojciech Marian Czarnecki Siddhant M. Jayakumar Max Jaderberg Leonard Hasenclever Yee Whye Teh Simon Osindero Nicolas Heess Razvan Pascanu	1
+	Sequential Attacks on Agents for Long-Term Adversarial Goals	2018	Edgar Tretschk Seong Joon Oh Mario Fritz	1
+	Adversarial Attacks on Neural Network Policies	2017	Sandy H. Huang Nicolas Papernot Ian Goodfellow Yan Duan Pieter Abbeel	1