Ajay Mandlekar

发表

Adversarially Robust Policy Learning: Active construction of physically-plausible perturbations

Silvio Savarese, Li Fei-Fei, Yuke Zhu, 2017, 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Risk-sensitive Inverse Reinforcement Learning via Coherent Risk Models

Marco Pavone, Sumeet Singh, Anirudha Majumdar, 2017, Robotics: Science and Systems.

ROBOTURK: A Crowdsourcing Platform for Robotic Skill Learning through Imitation

Silvio Savarese, Li Fei-Fei, Yuke Zhu, 2018, CoRL.

Sparse Estimation of Movie Preferences via Constrained Optimization

Matthew W. Tsao, Ajay Mandlekar, Alexander Anemogiannis, 2016 .

MineDojo: Building Open-Ended Embodied Agents with Internet-Scale Knowledge

Anima Anandkumar, Linxi (Jim) Fan, Yuke Zhu, 2022, ArXiv.

Controlling Assistive Robots with Learned Latent Actions

Dylan P. Losey, Animesh Garg, Dorsa Sadigh, 2019, 2020 IEEE International Conference on Robotics and Automation (ICRA).

MineDojo: Building Open-Ended Embodied Agents with Internet-Scale Knowledge

Anima Anandkumar, Linxi (Jim) Fan, Yuke Zhu, 2022, ArXiv.

Learning and Retrieval from Prior Data for Skill-based Imitation Learning

Yuke Zhu, Ajay Mandlekar, Soroush Nasiriany, 2022, CoRL.

Active Task Randomization: Learning Visuomotor Skills for Sequential Manipulation by Proposing Feasible and Novel Tasks

Li Fei-Fei, Kuan Fang, Toki Migimatsu, 2022, ArXiv.

MineDojo: Building Open-Ended Embodied Agents with Internet-Scale Knowledge

Anima Anandkumar, Linxi (Jim) Fan, Yuke Zhu, 2022, NeurIPS.

MoCoDA: Model-based Counterfactual Data Augmentation

Animesh Garg, Elliot Creager, Silviu Pitis, 2022, Neural Information Processing Systems.

MoCoDA: Model-based Counterfactual Data Augmentation

Elliot Creager, Silviu Pitis, Ajay Mandlekar, 2022, NeurIPS.

Orbit: A Unified Simulation Framework for Interactive Robot Learning Environments

Animesh Garg, M. Hutter, Jingzhou Liu, 2023, IEEE Robotics and Automation Letters.

Deep Affordance Foresight: Planning Through What Can Be Done in the Future

Silvio Savarese, Danfei Xu, Li Fei-Fei, 2020, 2021 IEEE International Conference on Robotics and Automation (ICRA).

Error-Aware Imitation Learning from Teleoperation Data for Mobile Manipulation

Silvio Savarese, Li Fei-Fei, Andrey Kurenkov, 2021, CoRL.

Generalization Through Hand-Eye Coordination: An Action Space for Learning Spatially-Invariant Visuomotor Control

Silvio Savarese, Danfei Xu, Li Fei-Fei, 2021, 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Learning to Generalize Across Long-Horizon Tasks from Human Demonstrations

Li Fei-Fei, S. Savarese, Danfei Xu, 2020, Robotics: Science and Systems.

AC-Teach: A Bayesian Actor-Critic Method for Policy Learning with an Ensemble of Suboptimal Teachers

S. Savarese, Animesh Garg, Andrey Kurenkov, 2019, CoRL.

What Matters in Learning from Offline Human Demonstrations for Robot Manipulation pdf

Silvio Savarese, Danfei Xu, Li Fei-Fei, 2021, CoRL.

Learning Multi-Arm Manipulation Through Collaborative Teleoperation pdf

Silvio Savarese, Roberto Mart'in-Mart'in, Li Fei-Fei, 2020, 2021 IEEE International Conference on Robotics and Automation (ICRA).

Human-in-the-Loop Imitation Learning using Remote Teleoperation pdf

Silvio Savarese, Roberto Mart'in-Mart'in, Danfei Xu, 2020, ArXiv.

IRIS: Implicit Reinforcement without Interaction at Scale for Learning Control from Offline Robot Manipulation Data

D. Fox, Li Fei-Fei, Byron Boots, 2019, 2020 IEEE International Conference on Robotics and Automation (ICRA).

robosuite: A Modular Simulation Framework and Benchmark for Robot Learning

Yuke Zhu, Ajay Mandlekar, Roberto Mart'in-Mart'in, 2020, ArXiv.

Learning latent actions to control assistive robots

Jeannette Bohg, Dorsa Sadigh, Dylan P. Losey, 2021, Autonomous Robots.

Voyager: An Open-Ended Embodied Agent with Large Language Models

Yuke Zhu, Anima Anandkumar, Anima Anandkumar, 2023, Trans. Mach. Learn. Res..

Active Task Randomization: Learning Robust Skills via Unsupervised Generation of Diverse and Feasible Tasks

Li Fei-Fei, Kuan Fang, Toki Migimatsu, 2022, 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Imitating Task and Motion Planning with Visuomotor Transformers

Caelan Reed Garrett, D. Fox, R. Salakhutdinov, 2023, ArXiv.

MimicGen: A Data Generation System for Scalable Robot Learning using Human Demonstrations

Yashraj S. Narang, Ajay Mandlekar, Iretiayo Akinola, 2023, CoRL.

Human-in-the-Loop Task and Motion Planning for Imitation Learning

Caelan Reed Garrett, Ajay Mandlekar, Dieter Fox, 2023, CoRL.

ROBOTURK: A Crowdsourcing Platform for Robotic Skill Learning through Imitation

Li Fei-Fei, S. Savarese, Animesh Garg, 2018, CoRL.

Imitating Task and Motion Planning with Visuomotor Transformers

Caelan Reed Garrett, D. Fox, R. Salakhutdinov, 2023, CoRL.

NOD-TAMP: Generalizable Long-Horizon Planning with Neural Object Descriptors

Caelan Reed Garrett, Ajay Mandlekar, Shuo Cheng, 2023, 2311.01530.