Ajay Mandlekar
According to our database1,
Ajay Mandlekar
authored at least 35 papers
between 2017 and 2024.
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Bibliography
2024
Trans. Mach. Learn. Res., 2024
IntervenGen: Interventional Data Generation for Robust and Data-Efficient Robot Imitation Learning.
CoRR, 2024
Signatures meet dynamic programming: Generalizing Bellman equations for trajectory following.
Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024
Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024
2023
IEEE Robotics Autom. Lett., June, 2023
CoRR, 2023
CoRR, 2023
Active Task Randomization: Learning Robust Skills via Unsupervised Generation of Diverse and Feasible Tasks.
IROS, 2023
MimicGen: A Data Generation System for Scalable Robot Learning using Human Demonstrations.
Proceedings of the Conference on Robot Learning, 2023
Proceedings of the Conference on Robot Learning, 2023
Proceedings of the Conference on Robot Learning, 2023
2022
Active Task Randomization: Learning Visuomotor Skills for Sequential Manipulation by Proposing Feasible and Novel Tasks.
CoRR, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Conference on Robot Learning, 2022
2021
Generalization Through Hand-Eye Coordination: An Action Space for Learning Spatially-Invariant Visuomotor Control.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021
S4RL: Surprisingly Simple Self-Supervision for Offline Reinforcement Learning in Robotics.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021
2020
CoRR, 2020
CoRR, 2020
Proceedings of the Robotics: Science and Systems XVI, 2020
IRIS: Implicit Reinforcement without Interaction at Scale for Learning Control from Offline Robot Manipulation Data.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020
2019
IRIS: Implicit Reinforcement without Interaction at Scale for Learning Control from Offline Robot Manipulation Data.
CoRR, 2019
Scaling Robot Supervision to Hundreds of Hours with RoboTurk: Robotic Manipulation Dataset through Human Reasoning and Dexterity.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019
AC-Teach: A Bayesian Actor-Critic Method for Policy Learning with an Ensemble of Suboptimal Teachers.
Proceedings of the 3rd Annual Conference on Robot Learning, 2019
2018
Proceedings of the 2nd Annual Conference on Robot Learning, 2018
2017
Proceedings of the Robotics: Science and Systems XIII, 2017
Adversarially Robust Policy Learning: Active construction of physically-plausible perturbations.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017