Pulkit Agrawal

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All published works

Action	Title	Year	Authors
+ PDF Chat	Learning to Look Around: Enhancing Teleoperation and Learning with a Human-like Actuated Neck	2024	Bipasha Sen Michelle Wang N. K. Thakur Aditya Agarwal Pulkit Agrawal
+	Aligning Human and Robot Representations	2024	Andreea Bobu Andi Peng Pulkit Agrawal Julie Shah Anca D. Dragan
+	Aligning Robot and Human Representations	2023	Andreea Bobu Andi Peng Pulkit Agrawal Julie Shah Anca D. Dragan

Common Coauthors

Coauthor	Papers Together
Anca D. Dragan	2
Andi Peng	2
Andreea Bobu	2
Julie Shah	2
Bipasha Sen	1
Michelle Wang	1
N. K. Thakur	1
Aditya Agarwal	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Explainable Knowledge Graph Embedding: Inference Reconciliation for Knowledge Inferences Supporting Robot Actions	2022	Angel Daruna Devleena Das Sonia Chernova	2
+	Behavioral Cloning from Observation	2018	Faraz Torabi Garrett Warnell Peter Stone	2
+ PDF Chat	Deep Imitation Learning for Complex Manipulation Tasks from Virtual Reality Teleoperation	2018	Tianhao Zhang Zoe McCarthy Owen Jow Dennis Lee Xi Chen Ken Goldberg Pieter Abbeel	2
+	Video PreTraining (VPT): Learning to Act by Watching Unlabeled Online Videos	2022	Bowen Baker Ilge Akkaya P. A. Zhokhov Joost Huizinga Jie Tang Adrien Ecoffet Brandon Houghton Raul Sampedro Jeff Clune	2
+	On the Expressivity of Markov Reward	2021	David Abel Will Dabney Anna Harutyunyan Mark K. Ho Michael L. Littman Doina Precup Satinder Singh	2
+ PDF Chat	Scalable Multi-Task Imitation Learning with Autonomous Improvement	2020	Avi Singh Eric Jang Alexander Irpan Daniel Kappler Murtaza Dalal Sergey Levinev Mohi Khansari Chelsea Finn	2
+ PDF Chat	An Algorithmic Perspective on Imitation Learning	2018	Takayuki Osa Joni Pajarinen Gerhard Neumann J. Andrew Bagnell Pieter Abbeel Jan Peters	2
+ PDF Chat	How Well Do Self-Supervised Models Transfer?	2021	Linus Ericsson Henry Gouk Timothy M. Hospedales	2
+	Feature Expansive Reward Learning	2021	Andreea Bobu Marius Wiggert Claire J. Tomlin Anca D. Dragan	2
+	End-To-End Robotic Reinforcement Learning without Reward Engineering	2019	Avi Singh Larry Yang Chelsea Finn Sergey Levine	2
+ PDF Chat	Semantic-Based Explainable AI: Leveraging Semantic Scene Graphs and Pairwise Ranking to Explain Robot Failures	2021	Devleena Das Sonia Chernova	2
+ PDF Chat	Quantifying Hypothesis Space Misspecification in Learning From Human–Robot Demonstrations and Physical Corrections	2020	Andreea Bobu Andrea Bajcsy Jaime F. Fisac Sampada Deglurkar Anca D. Dragan	2
+ PDF Chat	Vision-Based Multi-Task Manipulation for Inexpensive Robots Using End-to-End Learning from Demonstration	2018	Rouhollah Rahmatizadeh Pooya Abolghasemi Ladislau Bölöni Sergey Levine	2
+	Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations	2018	Aravind Rajeswaran Vikash Kumar Abhishek Gupta Giulia Vezzani John Schulman Emanuel Todorov Sergey Levine	2
+ PDF Chat	Learning preferences for manipulation tasks from online coactive feedback	2015	Ashesh Jain Shikhar Sharma Thorsten Joachims Ashutosh Saxena	2
+ PDF Chat	Towards Robust One-shot Task Execution using Knowledge Graph Embeddings	2021	Angel Daruna Lakshmi Nair Weiyu Liu Sonia Chernova	2
+ PDF Chat	Situational Confidence Assistance for Lifelong Shared Autonomy	2021	Matthew Zurek Andreea Bobu Daniel S. Brown Anca D. Dragan	2
+ PDF Chat	TripleTree: A Versatile Interpretable Representation of Black Box Agents and their Environments	2021	Tom Bewley Jonathan Lawry	2
+ PDF Chat	Inducing structure in reward learning by learning features	2022	Andreea Bobu Marius Wiggert Claire J. Tomlin Anca D. Dragan	2
+ PDF Chat	State representation learning for control: An overview	2018	Timothée Lesort Natalia Díaz-Rodríguez Jean-Frano̧is Goudou David Filliat	2
+	Continual Learning of Knowledge Graph Embeddings	2021	Angel Daruna Mehul Gupta Mohan Sridharan Sonia Chernova	2
+	Teaching Robots to Span the Space of Functional Expressive Motion	2022	Arjun Sripathy Andreea Bobu Zhongyu Li Koushil Sreenath Daniel S. Brown Anca D. Dragan	2
+ PDF Chat	Shared autonomy via hindsight optimization for teleoperation and teaming	2018	Shervin Javdani Henny Admoni Stefania Pellegrinelli Siddhartha S Srinivasa J. Andrew Bagnell	2
+	A Review of Relational Machine Learning for Knowledge Graphs	2015	Maximilian Nickel Kevin Murphy Volker Tresp Evgeniy Gabrilovich	2
+	Diversity is All You Need: Learning Skills without a Reward Function	2018	Benjamin Eysenbach Abhishek Gupta Julian Ibarz Sergey Levine	1
+ PDF Chat	Deep TAMER: Interactive Agent Shaping in High-Dimensional State Spaces	2018	Garrett Warnell Nicholas R. Waytowich Vernon J. Lawhern Peter Stone	1
+	Spectrally-normalized margin bounds for neural networks	2017	Peter L. Bartlett Dylan J. Foster Matus Telgarsky	1
+ PDF Chat	Zero-Shot Visual Imitation	2018	Deepak Pathak Parsa Mahmoudieh Guanghao Luo Pulkit Agrawal Dian Chen Fred Shentu Evan Shelhamer Jitendra Malik Alexei A. Efros Trevor Darrell	1
+	Meta-Inverse Reinforcement Learning with Probabilistic Context Variables	2019	Lantao Yu Tianhe Yu Chelsea Finn Stefano Ermon	1
+	Dream to Control: Learning Behaviors by Latent Imagination	2019	Danijar Hafner Timothy Lillicrap Jimmy Ba Mohammad Norouzi	1
+	Safe Imitation Learning via Fast Bayesian Reward Inference from Preferences	2020	Daniel S. Brown Russell Coleman Ravi Srinivasan Scott Niekum	1
+	Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems	2020	Sergey Levine Aviral Kumar George Tucker Justin Fu	1
+	Learning Latent Plans from Play	2019	Corey Lynch Mohi Khansari Ted Xiao Vikash Kumar Jonathan Tompson Sergey Levine Pierre Sermanet	1
+	Causal Discovery in Physical Systems from Videos	2020	Yunzhu Li Antonio Torralba Animashree Anandkumar Dieter Fox Animesh Garg	1
+ PDF Chat	Expressing Robot Incapability	2018	Minae Kwon Sandy H. Huang Anca D. Dragan	1
+ PDF Chat	Bridging Knowledge Graphs to Generate Scene Graphs	2020	Alireza Zareian Svebor Karaman Shih-Fu Chang	1
+	CURL: Contrastive Unsupervised Representations for Reinforcement Learning	2020	Aravind Srinivas Michael Laskin Pieter Abbeel	1
+	Few-Shot Learning via Learning the Representation, Provably	2020	Simon S. Du Wei Hu Sham M. Kakade Jason D. Lee Qi Lei	1
+	Learning Invariant Representations for Reinforcement Learning without Reconstruction	2020	Amy Zhang Rowan McAllister Roberto Calandra Yarin Gal Sergey Levine	1
+	Zero-Shot Text-to-Image Generation	2021	Aditya Ramesh Mikhail Pavlov Gabriel Goh Scott Gray Chelsea Voss Alec Radford Mark Chen Ilya Sutskever	1
+ PDF Chat	Self-Supervised Pretraining Improves Self-Supervised Pretraining	2022	Colorado Reed Xiangyu Yue Ani Nrusimha Sayna Ebrahimi Vivek Vijaykumar Richard Mao Bo Li Shanghang Zhang Devin Guillory Sean L. Metzger	1
+	Pretraining Representations for Data-Efficient Reinforcement Learning	2021	Max Schwarzer Nitarshan Rajkumar Michael Noukhovitch Ankesh Anand Laurent Charlin Devon Hjelm Philip Bachman Aaron Courville	1
+	Learning Transferable Visual Models From Natural Language Supervision	2021	Alec Radford Jong Wook Kim Chris Hallacy Aditya Ramesh Gabriel Goh Sandhini Agarwal Girish Sastry Amanda Askell Pamela Mishkin Jack Clark	1
+ PDF Chat	Learning Representations by Humans, for Humans	2019	Sophie Hilgard Nir Rosenfeld Mahzarin R. Banaji Jack Cao David Parkes	1
+	Pragmatic Image Compression for Human-in-the-Loop Decision-Making	2021	Siddharth Reddy Anca D. Dragan Sergey Levine	1
+	Predicting Stable Configurations for Semantic Placement of Novel Objects	2021	Chris Paxton Chris Xie Tucker Hermans Dieter Fox	1
+	SORNet: Spatial Object-Centric Representations for Sequential Manipulation	2021	Wentao Yuan Chris Paxton Karthik Desingh Dieter Fox	1
+	An Empirical Investigation of Representation Learning for Imitation	2022	Xin Chen Sam Toyer Cody Wild Scott Emmons Ian Fischer Kuang-Huei Lee Neel Alex Steven H. Wang Ping Luo Stuart Russell	1
+	CLIPort: What and Where Pathways for Robotic Manipulation	2021	Mohit Shridhar Lucas Manuelli Dieter Fox	1
+	Task-Induced Representation Learning	2022	Jun Yamada Karl Pertsch Anisha Gunjal Joseph J. Lim	1