Ankit Jain

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All published works

Action	Title	Year	Authors
+ PDF Chat	Blockchain-Enhanced Framework for Secure Third-Party Vendor Risk Management and Vigilant Security Controls	2024	Deepti Gupta Lavanya Elluri Ankit Jain Shafika Showkat Moni Ömer Aslan
+	Estimating Q(s,s') with Deterministic Dynamics Gradients	2020	Ashley D. Edwards Himanshu Sahni Rosanne Liu Jane Hung Ankit Jain Rui Wang Adrien Ecoffet Thomas Miconi Charles L. Isbell Jason Yosinski
+	Estimating Q(s,s') with Deep Deterministic Dynamics Gradients	2020	Ashley D. Edwards Himanshu Sahni Rosanne Liu Jane Hung Ankit Jain Rui Wang Adrien Ecoffet Thomas Miconi Charles L. Isbell Jason Yosinski
+ PDF Chat	Lattice dynamics and the nature of structural transitions in organolead halide perovskites	2016	Riccardo Comin Michael K. Crawford Ayman Said Norman Herron W. E. Guise Xiaoping Wang Pamela S. Whitfield Ankit Jain Xiwen Gong Alan J. H. McGaughey
+	Emerging Ideas in Nanocantilever based Biological Sensors	2013	Ankit Jain Muhammad A. Alam

Common Coauthors

Coauthor	Papers Together
Charles L. Isbell	2
Jane Hung	2
Jason Yosinski	2
Thomas Miconi	2
Adrien Ecoffet	2
Ashley D. Edwards	2
Himanshu Sahni	2
Rosanne Liu	2
Ömer Aslan	1
W. E. Guise	1
Pamela S. Whitfield	1
Rui Wang	1
Rui Wang	1
Xiaoping Wang	1
Ayman Said	1
Norman Herron	1
Deepti Gupta	1
Michael K. Crawford	1
Alan J. H. McGaughey	1
Shafika Showkat Moni	1
Lavanya Elluri	1
Xiwen Gong	1
Edward H. Sargent	1
Muhammad A. Alam	1
Riccardo Comin	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Lattice dynamics and vibrational spectra of the orthorhombic, tetragonal, and cubic phases of methylammonium lead iodide	2015	Federico Brivio Jarvist M. Frost Jonathan M. Skelton Adam Jackson Oliver J. Weber Mark T. Weller A. R. Goñi Aurélien M. A. Leguy Piers R. F. Barnes Aron Walsh	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
+ PDF Chat	Deep visual foresight for planning robot motion	2017	Chelsea Finn Sergey Levine	1
+	Hindsight Experience Replay	2017	Marcin Andrychowicz Filip Wolski Alex Ray Jonas Schneider Rachel Fong Peter Welinder Bob McGrew Josh Tobin Pieter Abbeel Wojciech Zaremba	1
+	Intrinsically Motivated Goal Exploration Processes with Automatic Curriculum Learning	2017	Sébastien Forestier Yoan Mollard Pierre‐Yves Oudeyer	1
+	Addressing Function Approximation Error in Actor-Critic Methods	2018	Scott Fujimoto Herke van Hoof David Meger	1
+	Forward-Backward Reinforcement Learning	2018	Ashley D. Edwards Laura Downs James C. Davidson	1
+	Recall Traces: Backtracking Models for Efficient Reinforcement Learning	2018	Anirudh Goyal Philémon Brakel William Fedus Soumye Singhal Timothy Lillicrap Sergey Levine Hugo Larochelle Yoshua Bengio	1
+	Behavioral Cloning from Observation	2018	Faraz Torabi Garrett Warnell Peter Stone	1
+	Provably Efficient Imitation Learning from Observation Alone	2019	Wen Sun Anirudh Vemula Byron Boots J. Andrew Bagnell	1
+	Recent Advances in Imitation Learning from Observation	2019	Faraz Torabi Garrett Warnell Peter Stone	1
+	FeUdal Networks for Hierarchical Reinforcement Learning	2017	Alexander Sasha Vezhnevets Simon Osindero Tom Schaul Nicolas Heess Max Jaderberg David Silver Koray Kavukcuoglu	1
+	Time-Contrastive Networks: Self-Supervised Learning from Video	2017	Pierre Sermanet Corey Lynch Yevgen Chebotar Jasmine Hsu Eric Jang Stefan Schaal Sergey Levine	1
+ 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	1
+	Extrapolating Beyond Suboptimal Demonstrations via Inverse Reinforcement Learning from Observations	2019	Daniel S. Brown Wonjoon Goo Prabhat Nagarajan Scott Niekum	1
+	Reverse Curriculum Generation for Reinforcement Learning	2017	Carlos Florensa David Held Markus Wulfmeier Michael Zhang Pieter Abbeel	1
+	Learning what you can do before doing anything	2018	Oleh Rybkin Karl Pertsch Konstantinos G. Derpanis Kostas Daniilidis Andrew Jaegle	1
+	Learn What Not to Learn: Action Elimination with Deep Reinforcement Learning	2018	Tom Zahavy Matan Haroush Nadav Merlis Daniel J. Mankowitz Shie Mannor	1
+ PDF Chat	Imitation from Observation: Learning to Imitate Behaviors from Raw Video via Context Translation	2018	YuXuan Liu Abhishek Gupta Pieter Abbeel Sergey Levine	1
+	Time-Contrastive Networks: Self-Supervised Learning from Multi-View Observation	2017	Pierre Sermanet Corey Lynch Jasmine Hsu Sergey Levine	1
+	Visual Reinforcement Learning with Imagined Goals	2018	Ashvin Nair Vitchyr H. Pong Murtaza Dalal Shikhar Bahl Steven Lin Sergey Levine	1
+	Learning Action-Transferable Policy with Action Embedding	2019	Yu Chen Yingfeng Chen Yang Yu Ying Li Jianwei Yin Changjie Fan	1
+	IRIS: Implicit Reinforcement without Interaction at Scale for Learning Control from Offline Robot Manipulation Data	2019	Ajay Mandlekar Fábio Ramos Byron Boots Silvio Savarese Li Fei-Fei Animesh Garg Dieter Fox	1
+	State Alignment-based Imitation Learning	2019	Fangchen Liu Zhan Ling Tongzhou Mu Hao Su	1
+	Nanoelectromechanical Systems	2005		1
+ PDF Chat	Screening-Limited Response of NanoBiosensors	2008	Pradeep R. Nair Muhammad A. Alam	1
+ PDF Chat	Ultimate limits to inertial mass sensing based upon nanoelectromechanical systems	2004	K. L. Ekinci Yushi Yang M. L. Roukes	1
+ PDF Chat	Learning Predictive Models from Observation and Interaction	2020	Karl Schmeckpeper Annie Xie Oleh Rybkin Stephen Tian Kostas Daniilidis Sergey Levine Chelsea Finn	1